Remote Sensing of Land Surface Phenology

Land surface phenology (LSP) uses remote sensing to monitor seasonal dynamics in vegetated land surfaces and retrieve phenological metrics (transition dates, rate of change, annual integrals, etc.). LSP has developed rapidly in the last few decades. Both regional and global LSP products have been routinely generated and play prominent roles in modeling crop yield, ecological surveillance, identifying invasive species, modeling the terrestrial biosphere, and assessing impacts on urban and natural ecosystems. Recent advances in field and spaceborne sensor technologies, as well as data fusion techniques, have enabled novel LSP retrieval algorithms that refine retrievals at even higher spatiotemporal resolutions, providing new insights into ecosystem dynamics. Meanwhile, rigorous assessment of the uncertainties in LSP retrievals is ongoing, and efforts to reduce these uncertainties represent an active research area. Open source software and hardware are in development, and have greatly facilitated the use of LSP metrics by scientists outside the remote sensing community. This reprint covers the latest developments in sensor technologies, LSP retrieval algorithms and validation strategies, and the use of LSP products in a variety of fields. It aims to summarize the ongoing diverse LSP developments and boost discussions on future research prospects

Climate change and mountain water resources: overview and recommendations for research, management and policy

Mountains are essential sources of freshwater for our world, but their role in global water resources could well be significantly altered by climate change. How well do we understand these potential changes today, and what are implications for water resources management, climate change adaptation, and evolving water policy? To answer above questions, we have examined 11 case study regions with the goal of providing a global overview, identifying research gaps and formulating recommendations for research, management and policy. <br><br> After setting the scene regarding water stress, water management capacity and scientific capacity in our case study regions, we examine the state of knowledge in water resources from a highland-lowland viewpoint, focusing on mountain areas on the one hand and the adjacent lowland areas on the other hand. Based on this review, research priorities are identified, including precipitation, snow water equivalent, soil parameters, evapotranspiration and sublimation, groundwater as well as enhanced warming and feedback mechanisms. In addition, the importance of environmental monitoring at high altitudes is highlighted. We then make recommendations how advancements in the management of mountain water resources under climate change could be achieved in the fields of research, water resources management and policy as well as through better interaction between these fields. <br><br> We conclude that effective management of mountain water resources urgently requires more detailed regional studies and more reliable scenario projections, and that research on mountain water resources must become more integrative by linking relevant disciplines. In addition, the knowledge exchange between managers and researchers must be improved and oriented towards long-term continuous interaction

Heterogeneous glacier thinning patterns over the last 40 years in Langtang Himal

Himalayan glaciers are losing mass at rates similar to glaciers elsewhere, but heavily debris-covered glaciers are receding less than debris-free glaciers or even have stable fronts. There is a need for multi-temporal mass balance data to determine if glacier wastage of debris-covered glaciers is accelerating. Here, we present glacier volume and mass changes of seven glaciers (5 partially debris-covered, 2 debris-free) in the upper Langtang catchment in Nepal of 28 different periods between 1974 and 2015 based on 8 digital elevation models (DEMs) derived from high-resolution stereo satellite imagery. We show that glacier volume decreased during all periods between 2006 and 2015 (2006–2015: −0.60 ± 0.34 m a−1) and at higher rates than between 1974 and 2006 (−0.28 ± 0.42 m a−1). However, the behavior of glaciers in the study area was highly heterogeneous, and the presence of debris itself does not seem to be a good predictor for mass balance trends. Debris-covered tongues have highly non-linear thinning profiles, and we show that local accelerations in thinning correlate with complex thinning patterns characteristic of areas with a high concentration of supraglacial cliffs and lakes. At stagnating glacier area near the glacier front, on the other hand, thinning rates may even decrease over time. We conclude that trends of glacier mass loss rates in this part of the Himalaya cannot be generalized, neither for debris-covered nor for debris-free glaciers

Permafrost thaw induced changes to runoff generation and hydrologic connectivity in low-relief, discontinuous permafrost terrains

Recent climate warming in northwestern Canada is occurring at an unprecedented rate in recorded history and has resulted in the widespread thaw of permafrost. Where present, permafrost exerts a significant control on local hydrology, and disappearance of permafrost threatens to change the hydrology of northern basins. In the peatlands that characterise the southern distribution of permafrost in low relief terrain, permafrost takes the form of forested peat plateaus and is interspersed by permafrost-free wetlands (i.e. channel fens and flat bogs). Previous field studies have found that channel fens serve as the drainage network and route water to the basin outlet, whereas flat bogs have been viewed primarily as storage features. Wetland expansion in response to permafrost thaw can transform the primary hydrologic function of flat bogs from storage units to runoff-producing units by removing the relatively impermeable permafrost barrier that encompasses them. As a result, permafrost thaw has the potential to greatly increase the runoff contributing area when large storage features form hydrological connections with the basin drainage network. It has been well documented that permafrost thaw in this region results in the loss of forest and a concomitant expansion of wetlands, however the hydrologic response of these changes is poorly understood. Stream flow records in four Water Survey of Canada gauged basins (152 - 2050 km2)in the lower Liard River valley were analyzed to determine the impact of permafrost thaw-induced land cover change on basin runoff. Annual runoff between 1996 and 2012 increased by between 112 mm and 160 mm and these changes were significant in all four basins (p\u3e0.05). Changes to stream flow were assessed using the Mann-Kendall non-parametric test and the Kendall-Theil robust line. Permafrost thaw between 1977 and 2010 was quantified by comparison of historical aerial photographs and high-resolution satellite imagery (World View 2) over a 6 km2 area of interest, where changes in tree-covered terrain were used as a proxy for permafrost loss. It was found that land cover change from forest to wetland was the most important factor contributing to the increases in runoff (37 -61 mm), and that basins with a relatively high cover of flat bogs were subject to the largest increases in runoff. This analysis examined increases in runoff contributing area when a direct connection was formed between wetlands. Field studies have indicated the presence of ephemeral drainage channels connecting flat bogs within a peat plateau-bog complex. These drainage channels cut through the peat plateaus and create a series of cascading bogs that ultimately discharges into the channel fen. The bog cascades can greatly increase the runoff contributing area of a basin when the cascade is hydrologically active. To investigate the transport of water through these features, two bog cascades were instrumented with sharp crested v-notch weirs and cut-throat flume boxes in 2013 and 2014. Within the peat plateau-bog complex, the two cascades had markedly different plateau:bog ratios, and therefore different contributing areas. Runoff between the two cascades varied significantly with one cascade producing 125 mm of runoff over the two year period and the other producing only 25 mm. Both cascades were active during the snowmelt period of each year, however only the cascade with the higher plateau:bog ratio produced runoff in response to rain events. It is proposed that the bog cascades operate under an “element threshold concept’, whereby in order for water to be transmitted through a bog, the depression storage capacity of that bog must first be satisfied. This work suggests that neglecting to represent these cascades of connected bogs in numerical models can underestimate basin stream flow by between 10 and 15%. At the southern distribution of discontinuous permafrost, the rate of permafrost thaw has increased in recent years. This research demonstrates a mechanism whereby permafrost thaw may show a non-linear response to warming air temperatures. Measurements of active layer thickness (ALT) are typically taken at the end of summer and inherently assumed to be analogous to maximum thaw depth. By definition, the active layer is the layer above permafrost that thaws in the summer and freezes again in winter. In Subarctic Canada, field measurements conducted at the end of winter found that the entire thickness of ground atop permafrost does not entirely re-freeze. This results in the formation of a thin talik between the frozen active layer and permafrost, and indicates that ALT must be measured by the depth of re-freeze. As talik thickness increases at the expense of the underlying permafrost, ALT is shown to simultaneously decrease. This suggests that the active layer has a maximum thickness that is controlled by the amount of energy lost from the ground to the atmosphere during winter. Vertical permafrost thaw was found to be significantly greater in areas with taliks (0.07 m year-1) than without (0.01 m year-1). Furthermore, the spatial distribution of areas with taliks increased between 2011 and 2015 from 20% to 48%, a phenomenon likely caused by an anomalously large ground heat flux input in 2012. Wide-spread talik development can therefore expedite permafrost thaw and add further complexity to the observed changes to basin hydrology

Observing giant panda habitat and forage abundance from space

Giant pandas are obligate bamboo grazers. The bamboos favoured by giant pandas are typical forest understorey plants. Therefore, the availability and abundance of understorey bamboo is a key factor in determining the quantity and quality of giant panda food resources. However, there is little or no information about the spatial distribution or abundance of bamboo underneath the forest canopy, due to the limitations of traditional ground survey and remote sensing classification techniques. In this regard, the development of methods that can predict the understorey bamboo spatial distribution and cover abundance is critical for an improved understanding of the habitat, foraging behaviour and distribution of giant pandas, as well as facilitating an optimal conservation strategy for this endangered species. The objectives of this study were to develop innovative methods in remote sensing and GIS for estimating the giant panda habitat and forage abundance, and to explain the altitudinal migration and the spatial distribution of giant pandas in the fragmented forest landscape. It was concluded that 1) the vegetation indices derived from winter (leaf-off) satellite images can be successfully used to predict the distribution of evergreen understorey bamboo in a deciduous-dominated forest, 2) winter is the optimal season for quantifying the coverage of evergreen understorey bamboo in a mixed temperate forest, regardless of the classification methods used, 3) a higher mapping accuracy for understorey bamboo in a coniferous-dominated forest can be achieved by using an integrated neural network and expert system algorithm, 4) the altitudinal migration patterns of sympatric giant pandas and golden takins are related to satellite-derived plant phenology (a surrogate of food quality) and bamboo abundance (a surrogate of food quantity), 5) the driving force behind the seasonal vertical migration of giant pandas is the occurrence of bamboo shoots and the temperature variation along an altitudinal gradient, 6) the satellite-derived forest patches occupied by giant pandas were significantly larger and more contiguous than patches where giant pandas were not recorded, indicating that giant pandas appear sensitive to patch size and isolation effects associated with forest fragmentation. Overall, the study has been shown the potential of satellite remote sensing to map giant panda habitat and forage (i.e., understorey bamboo) abundance. The results are important for understanding the foraging behaviour and the spatial distribution of giant pandas, as well as the evaluation and modelling of giant panda habitat in order to guide decision-making on giant panda conservation. <br/

Using Remote Sensing Techniques to Improve Hydrological Predictions in a Rapidly Changing World

Remotely sensed geophysical datasets are being produced at increasingly fast rates to monitor various aspects of the Earth system in a rapidly changing world. The efficient and innovative use of these datasets to understand hydrological processes in various climatic and vegetation regimes under anthropogenic impacts has become an important challenge, but with a wide range of research opportunities. The ten contributions in this Special Issue have addressed the following four research topics: (1) Evapotranspiration estimation; (2) rainfall monitoring and prediction; (3) flood simulations and predictions; and (4) monitoring of ecohydrological processes using remote sensing techniques. Moreover, the authors have provided broader discussions on how to capitalize on state-of-the-art remote sensing techniques to improve hydrological model simulations and predictions, to enhance their skills in reproducing processes for the fast-changing world

A Model for Continental-Scale Water Erosion and Sediment Transport and Its Application to the Yellow River Basin

Quantifying suspended sediment discharge at large catchment scales has significant implications for various research fields such as water quality, global carbon and nutrient cycle, agriculture sustainability, and landscape evolution. There is growing evidence that climate warming is accelerating the water cycle, leading to changes in precipitation and runoff and increasing the frequency and intensity of extreme weather events, which could lead to intensive erosion and sediment discharge. However, suspended sediment discharge is still rarely represented in regional climate models because it depends not only on the sediment transport capacity based on streamflow characteristics but also on the sediment availability in the upstream basin. This thesis introduces a continental-scale Atmospheric and Hydrological-Sediment Modelling System (AHMS-SED), which overcomes the limitations of previous large-scale water erosion models. Specifically, AHMS-SED includes a complete representation of key hydrological, erosion and sediment transport processes such as runoff and sediment generation, flow and sediment routing, sediment deposition, gully erosion and river irrigation. In this thesis, we focus on developing and applying AHMS-SED in the Yellow River Basin of China, an arid and semi-arid region known for its wide distribution of loess and the highest soil erosion rate in the world. There are three key issues involving the model development and application: human perturbation (irrigation) of the water cycle, the uncertainty of precipitation forcing on the water discharge and the large-scale water erosion and sediment transport. This thesis addresses all these three issues in the following way. First, a new irrigation module is integrated into the Atmospheric and Hydrological Modelling System (AHMS). The model is calibrated and validated using in-situ and remote sensing observations. By incorporating the irrigation module into the simulation, a more realistic hydrological response was obtained near the outlet of the Yellow River Basin. Second, an evaluation of six precipitation-reanalysis products is performed based on observed precipitation and model-simulated river discharge by the AHMS for the Yellow River Basin. The hydrological model is driven with each of the precipitation-reanalysis products in two ways, one with the rainfall-runoff parameters recalibrated and the other without. Our analysis contributes to better quantifying the reliability of hydrological simulations and the improvement of future precipitation-reanalysis products. Third, a regional-scale water erosion and sediment transport model, referred to as AHMS-SED, is developed and applied to predicting continental-scale fluvial transport in the Yellow River Basin. This model couples the AHMS with the CASCade 2-Dimensional SEDiment (CASC2D-SED) and takes into account gully erosion, a process that strongly affects the sediment supply in the Chinese Loess Plateau. The AHMS-SED is then applied to simulate water erosion and sediment processes in the Yellow River Basin for a period of eight years, from 1979 to 1987. Overall, the results demonstrate the good performance of the AHMS-SED and the upland sediment discharge equation based on rainfall erosivity and gully area index. AHMS-SED is also used to predict the evolution of sediment transport in the Yellow River Basin under specific climate change scenarios. The model results indicate that changes in precipitation will have a significant impact on sediment discharge, while increased irrigation will reduce the sediment discharge from the Yellow River

Applicazione di tecniche remote sensing per lo studio dell&apos;evoluzione e della dinamica criosferica in aree remote e di alta quota

I ghiacciai sono efficaci indicatori climatici poich\ue8 si modificano in risposta ai cambi del clima (es. temperatura e precipitazioni). L'attenzione sui ghiacciai di montagna sta aumentando tra la comunit\ue0 scientifica per via del loro sempre pi\uf9 evidente arretramento a scala globale negli ultimi cinquant'anni. Ci\uf2 \ue8 conseguenza del riscaldamento globale. Comprendere il comportamento dei ghiacciai in risposta al cambio climatico \ue8 di enorme importanza non solo per arricchire la conoscenza scientifica, ma anche per poter meglio gestire in futuro le situazioni di rischio naturale che possono colpire le popolazioni che vivono nelle zone montuose, sia nel breve termine (es. GLOF), sia nel lungo (es. Siccit\ue0). Questa tesi di dottorato analizza differenti aspetti della criosfera (ghiacciai e neve) per descriverne la variabilit\ue0 recente e le relazioni con la dinamica climatica. Inizialmente ci si \ue8 concentrati sul Karakorum. Questa \ue8 un\u2019area particolare per gli studi criosferici, che non segue i trend globali di regresso; infatti, in questa zona il bilancio di massa netto dei ghiacciai nei primi anni del ventunesimo secolo \ue8 stato leggermente positivo, con anche taluni casi di espansione. Questa eccezionale situazione \ue8 riconosciuta con il nome di Anomalia del Karakorum (Karakoram Anomaly). Pi\uf9 precisamente il presente elaborato si focalizza sulla zona del Central Karakoram National Park (CKNP), un'area protetta nel nord del Pakistan, rappresentativa della glaciazione dell'intera catena del Karakorum. In questa regione, i venti occidentali rappresentano il sistema di venti dominante e sono presenti nella stagione invernale, mentre la confinante regione Himalayana \ue8 sotto l'influenza predominante dei monsoni, che sono venti estivi. Il presente lavoro descrive in maniera completa lo stato dei ghiacciai del CKNP e la loro recente evoluzione. Ci\uf2 \ue8 stato possibile a seguito della compilazione del catasto glaciale del parco per gli anni 2001 e 2010, a sua volta descritto nel dettaglio nel presente elaborato. Inoltre \ue8 discussa l'analisi dei cambiamenti climatici poi messa in relazione con quelli glaciali, per poter comprendere le cause dietro l'Anomalia del Karakorum. Il cambiamento areale dei 711 ghiacciai mappati nell'area di studio \ue8 stato -0.4 \ub1 202.9 km2 (su 4605.9 \ub1 86.1 km2 nel 2001), il che evidenzia una generale situazione di stabilit\ue0. Anche l'analisi climatica supporta tale condizione di stabilit\ue0. Durante il periodo 2001\u20132010 si \ue8 osservato grazie ai dati del sensore MODIS un leggero aumento delle aree coperte da neve a fine estate. Allo stesso tempo, dati meteo dalle stazioni disponibili hanno rivelato un aumento delle nevicate e una diminuzione della temperatura media dell'aria in estate fin dal 1980, il che si tradurrebbe in coperture nivali pi\uf9 persistenti durante la stagione ablativa. Questi risultati vanno a favore della preservazione glaciale nelle zone di ablazione dovuta a una copertura di neve pi\uf9 duratura, e un maggiore accumulo a quote pi\uf9 alte, presupponendo bilanci di massa netti tendenti al segno positivo. L'altro principale obiettivo del presente elaborato di tesi \ue8 quello di fornire un modello di semplice utilizzo per quantificare l'ablazione di ghiaccio alla superficie glaciale. Dal momento che una copertura detritica sopraglaciale \ue8 in grado di alterare la fusione del ghiaccio vicino alla superficie in funzione dello spessore, il modello tiene conto di due diversi casi: una parte stima l'ablazione per le aree di ghiaccio scoperto con un metodo definito enhanced T-index; l'altra stima la fusione per le zone coperte da detrito, utilizzando un modello di flusso di calore conduttivo. Per quanto concerne le parti coperte da detrito, \ue8 stata prodotta una mappa degli spessori detritici che \ue8 poi stata usata come input per il modello, assieme alla radiazione solare entrante distribuita. Per le aree scoperte da detrito, sono state derivate la temperatura dell'aria e la radiazione entrante distribuite attraverso i dati delle stazioni meteo automatiche presenti nell'area, in seguito usate come input. L'altro parametro necessario \ue8 un modello di elevazione del terreno. In particolare, la distribuzione degli input meteorologici \ue8 stata validata con dati di altre due stazioni presenti all'interno del CKNP (le stazioni di Urdukas e Concordia). L'ablazione modellata \ue8 risultata essere fortemente concorde con le misurazioni effettuate sul ghiacciaio del Baltoro nel 2011, ghiacciaio rappresentativo di tutto il CKNP. Due campioni dello stesso set di dati di fusione misurati su terreno sono stati usati ciascuno rispettivamente in sede di calibrazione e validazione. La fusione nivale \ue8 stata ignorata dal momento che mancavano dati di neve sistematici nell'area di studio. Il modello \ue8 stato fatto girare durante il picco della stagione ablativa (23 luglio\u20139 agosto 2011), durante il quale l'acqua di fusione deriva primariamente dalla fusione glaciale, mentre quella nivale ha un ruolo decisamente minore in questa regione. Il modello ha calcolato un totale di acqua da fusione glaciale pari a 1.963 km3 (0.109 km3 al giorno in media). Quella derivante dalle parti coperte da detrito ammonta a 0.223 km3 (0.012 km3 al giorno in media; min\u2013max 0.006\u20130.016 km3 al giorno), mentre per le parti a ghiaccio scoperto \ue8 1.740 km3 (0.097 km3 al giorno in media; min\u2013max 0.041\u20130.139 km3 al giorno). Tale quantit\ue0 \ue8 paragonabile al 14% di tutta l'acqua contenuta in una grande diga strategica lungo il fiume Indo, di cui i ghiacciai del CKNP sono tributari. I test di sensitivit\ue0 del modello suggeriscono che un aumento delle superfici coperte da detrito sui ghiacciai (probabile per via dell'aumento di eventi di macrogelivazione e di frane) avr\ue0 un notevole impatto sulla fusione effettiva in funzione dei nuovi spessori detritici, e l'ablazione aumenter\ue0 sensibilmente se la temperatura dell'aria dovesse alzarsi. Successivamente l'attenzione del presente elaborato di tesi \ue8 concentrata sulle Ande Cilene e sulla variabilit\ue0 della copertura nevosa. Un obiettivo principale parallelo della presente ricerca \ue8 stato infatti quello di individuare una metodologia basata sul telerilevamento per studiare la variazione della copertura nevosa ad una risoluzione spazio-temporale accettabile. Il sensore MODIS si \ue8 rivelato il pi\uf9 idoneo allo scopo ed \ue8 stata implementata una metodologia che permettesse di estrarre mappe di copertura di neve in maniera automatica dalle informazioni raccolte dal sensore stesso. In particolare, sono stati studiati diciotto bacini idrografici di montagna delle Ande centrali in Cile durante il periodo 2008\u20132011. La stessa metodologia \ue8 stata esportata e adottata per l'analisi della neve nel CKNP come detto. L'area di studio \ue8 stata divisa in tre sotto-zone (Settentrionale, Centrale, Meridionale), per alleggerire il carico di calcolo dell'analisi. In generale, l'area coperta da neve \ue8 diminuita nel corso dei quattro anni di riferimento. I valori massimi sono stati ritrovati nella zona centrale, mentre fattori topografici e climatici (i.e. quote basse pi\uf9 a sud e un clima pi\uf9 arido nel nord), hanno limitato la deposizione della neve nelle altre zone. La linea della neve \ue8 pi\uf9 alta nella zona settentrionale a causa della presenza dell'altopiano, e si abbassa via via verso la zona merdionale. Nella zona settentrionale i minimi di copertura nivale vengono raggiunti prima che nelle altre zone e durano pi\uf9 a lungo (da novembre a marzo), probabilmente a causa del clima pi\uf9 arido. Durante l'intero periodo i valori massimi di copertura nevosa si ritrovano verso ovest. Al termine dell'elaborato e pertinente al tema principale delle applicazioni del telerilevamento allo studio della criosfera, sono presentati alcuni esempi di analisi di ghiacciai di diversa tipologia, dimensione e area geografica. Si tratta di sei casi, fra cui sono presenti tre ghiacciai alpini (Miage, Freney, Aletcsh), ghiacciai equatoriali (i ghiaccia del Kilimajaro), l'Harding Icefield in Alaska e un esempio di ghiacciaio antartico (la Drygalsky ice Tongue).Glaciers are sensitive climate indicators because they adjust their size in response to changes in climate (e.g. temperature and precipitation). The attention paid by the scientists to mountain glacier change is increasing as there are robust evidence of a global glacier shrinkage over the past five decades, which in turn is the consequence of global warming. Understanding the glacier response to climate change is of tremendous importance not only for improving scientific knowledge, but also to predict and manage water resources and natural risks for the people living in mountain areas in the short (e.g. glacier lake outburst floods), and long term (e.g. droughts). In this thesis are analysed different cryospheric elements (mainly glaciers and snow coverage) to describe their recent evolution and to look for relations, if any, with climate trends. Firstly, the focus is put on the Karakoram glaciers. Although a general worldwide retreat of mountain glaciers has been acknowledged by the scientific community, the Karakoram region represents an exception in this sense. Indeed, the net mass balance of the glaciers here in the early twenty-first century was slightly positive, and even some are expanding and thickening. This anomalous behaviour is known as Karakoram Anomaly. More precisely the study area is the Central Karakoram National Park (CKNP), a protected national park in Northern Pakistan representative of the glaciation of the whole Karakoram Range. The westerlies represent the dominant wind system and they occur during winter, while the neighbour Himalayan region is mainly influenced by the summer moonson. A comprehensive description of the state of the CKNP glaciers and of their recent evolution is presented. This was made after the compilation of the glacier inventory of the park for the years 2001 and 2010, which is also presented. Moreover, the analysis of the regional climate change in the recent years is also discussed and related to the actual glacier change, in order to understand the causes behind the Karakoram Anomaly. The glacier area change of the 711 glaciers mapped in the study zone during 2001\u20132010 was only -0.4 \ub1 202.9 km2 (over 4605.9 \ub1 86.1 km2 in 2001), evidencing a general stability. The climate analysis supports glacier stability in the area. A slight increase in late summer snow cover area during 2001\u20132010 was observed from MODIS snow data. At the same time, the available weather stations revealed an increase of snowfall events and a decrease of mean summer air temperatures since 1980, which would translate into more persistent snow cover during the melt season. These results support an enhanced glacier preservation in the ablation areas due to a long-lasting snow cover, and stronger accumulation at higher altitudes, pushing towards positive net balances. The other major aim of the present work is to provide a simple model to evaluate ice melt at the glacier surface. As the supraglacial-debris cover can alter ice ablation close to the glacier surface depending on its thickness, the model was made up of two parts: one which computes the ice melt over the bare ice areas using an enhanced T-index formula; and one for the debris-covered areas using a conductive heat flux module. For the debris-covered parts, the debris thickness map is produced and then provided to the model as input for the computation, other than the distributed shortwave incoming radiation. For the bare ice areas, the modeled air temperature and shortwave incoming radiation are derived from the automatic weather stations present in the CKNP and given to the model. The other model requirement is the digital elevation model. In particular, the meteorological input data were distributed starting from data acquired at Askole automatic weather station, located within the CKNP. The meteorological distribution was validated by comparison with data from other two AWS in the same park limits (Urdukas and Concordia). The modeled ablation data were in strong agreement with measurements collected in the field during 2011 on Baltoro glacier, which is representative of CKNP glaciers. Two sets of the same ablation dataset collected in the field in the CNKP area were used separately for calibration and validation. Snow melt was neglected since snow data in the study area was not systematically available. The model was run against the peak ablation season (23 July\u20139 August 2011), when meltwater mainly comes from ice melt, with snow thaw playing a minor role in this region. The total freshwater from the ablation areas of CKNP glaciers estimated by the model was 1.963 km3 (0.109 km3 d\u20131 on average). The meltwater from the debris-covered parts was 0.223 km3 (0.012 km3 d\u20131 on average; min\u2013max 0.006\u20130.016 km3 d\u20131), and 1.740 km3 (0.097 km3 d\u20131 on average; min\u2013max 0.041\u20130.139 km3 d\u20131) from debris-free sectors. The estimated total freshwater corresponds to 14% of the water contained in a large strategic dam along the Indus River, of which all the CKNP glaciers are tributaries. The sensitivity tests suggest that any increase in the extent of debris coverage (which will likely occur due to augmented macrogelivation processes and rockfall events), will affect melt depending on new debris thickness, and melting will increase largely if summer air temperature increases. The second major focus of this research is put on the snow cover variability of the Chilean Andes. A parallel major aim of this research work is to implement a methodology based on remote sensing to study the snow cover variation on an acceptable spatio-temporal resolution. The MODIS sensor was chosen as the most suitable for this purpose and a methodology for deriving snow maps automatically from it is described and applied for analyzing the SCA variation over 18 watersheds of the central Andes in Chile during 2008\u20132011. The same methodology was then adopted for the climate analysis in the CKNP as mentioned. The study area was divided into three sub-zones (Northern, Central, and Southern), for easing the computation of the snow analysis. Overall, SCA decreased during the four considered years. The maximum SCA was found in the Central Zone, while the topographic and climatic features (i.e. lower altitudes in the South, and a drier climate in the North), limited snow deposition elsewhere. The snow line was found higher in the Northern zone due to the presence of the plateau, while it decreases southwards. In the Northern Zone the minimum SCA was reached sooner than elsewhere, and it lasted for a longer period (November to March), probably because of the drier climate. West aspects showed the maximum of SCA in all zones throughout the study period. Finally, some examples of application of remote sensing to glacier related studies is presented for glaciers of various typology, size, and localization. Six case studies are shown, amongst which there are three alpine glaciers (Miage, Freney, Aletcsh), equatorial glaciers (the Kilimanjaro glaciers), the Harding Icefield in Alaska, and an Antarctic glacier (the Drygalsky Ice Tongue)

Atlas of Global Surface Water Dynamics

It is impossible to overstate the importance of freshwater in our daily lives – for proof, try going without it for any length of time. Surface waterbodies (lakes, ponds, rivers, creeks, estuaries… it doesn't matter what name they go under) are particularly important because they come into direct contact with us and our biophysical environment. But our knowledge concerning where and when waterbodies might be found was, until recently, surprisingly sparse. The paucity of information was because trying to map a moving target is actually very difficult – and waterbodies undeniably move, in both geographical space and time. By 2013 the U.S. Geological Survey and NASA were making petabyte scale archives of satellite imagery freely available, archives that covered the entire planet's surface and stretched back decades. Other's such as the European Commission / European Space Agency Copernicus programme were also putting full free and open data access policies into place, and Google's Earth Engine had become a mature, powerful cloud-based platform for processing very large geospatial datasets. Back in 2013 a small team working at the European Commission's Joint Research Centre were looking at ways satellite imagery could be used to capture surface waterbody dynamics, and create new maps that accurately incorporated time dimensions. Concurrently the Google Earth Engine team were focussing their massive computational capabilities on major issues facing humanity, such as deforestation, food security, climate change - and water management. The two teams came together in a partnership based not on financial transactions but on a mutual exchange of complementary capabilities, and devoted thousands of person hours and thousands of CPU years into turning petabytes of Landsat satellite imagery into unique, validated surface water maps, first published in 2016, and made available to everyone through a dedicated web portal, the Global Surface Water Explorer. Since then satellites have continued to image the Earth, surface water has continued to change and the JRC Goole Earth Engine partnership has continued to work on improving our knowledge of surface water dynamics and making sure this knowledge benefits as many people as possible. This Atlas is part of the outreach; it is not a guide to the Global Surface Water Explorer, it is not a Google Earth Engine tutorial (though if it inspires you to visit either of these resources then it has achieved one of its objectives), but it is a stand-alone window into how people and nature affect, and are affected by the 4.46 million km2 of the Earth's landmass that have been under water at some time over the past 35 years.JRC.D.5-Food Securit