58 research outputs found
Remote sensing for Mapping TSM concentration in Mahakam Delta: an analytical approach
The Indonesian coastal zones have always been under heavy pressures, including those from
fisheries, oil industries and sea transportation. The presence of these activities carry a large
portion of risk in damaging the environment as well as in destroying the marine resources,
leading to the need for an integrated management approach based on an environmental
information system that is comprehensive and multi-disciplinary in nature. The Mahakam Delta
has the same general problems as other coastal regions in Indonesia. The method is based on bio
optical modeling. The forward water analysis comprised the laboratory measurements of water
quality (TSM and Chl) and Inherent Optical Properties (IOPs) to derive Spesific Inherent Optical
properties (SIOPs). SIOPs (of water, TSM, Chl and CDOM), coefficient f and B were used to
developed R(0-) model. The inverse atmosphere analysis comprised the image preprocessing (i.e.
geometric correction, atmospheric correction, air-water interface correction). The last step is
inverse water analysis, which comprised the development of algorithm and image processing to
develop TSM concentration maps. The spectrometer measurements collected in the field were
used for obtaining the subsurface irradiance reflectance. The subsurface irradiance reflectance
R(0-) is the ratio of upwelling (Ewu) and downwelling irradiance (Ewd) just beneath the water
surface. There are some discrepancies from matching R(0-) model and R(0-) measured in the
field, especially in the blue region and NIR region. The reason of the discrepancies could be due
to the fact that the Q factor (the angular distribution factor of spectral radiance) is still not
understood completely. This model is very susceptible to the decrease of the proportional factor
f, and to the increase of the backscattering probability B. The results indicates that red band of
satellite sensor is sensitive to detect higher TSM concentration. For Mahakam Delta, red band
algorithm was used to derive TSM map, since higher TSM concentration occurred in the delta
Database management and implementation for coal fire detection and monitoring in the Ruijgou Coalfield, Northwest China
Coal fire monitoring by aerospace remote sensing and GIS techniques is an advanced approach, which has been implemented in the
Rujigou coalfield, northwest China. A database of several different types of data, including remote sensing images, results of
geological surveys, etc., has been collected and assembled in a PC-based information system, which is being developed by the
International Institute for Aerospace Survey and Earth Sciences (ITC). This coal fire monitoring and management information
system (CoalMan) comprises of two main parts: one is the database with its management tools, and the tools for data processing
and analysis form the other. This paper first introduces the structure of the CoalMan information system, presents the data types
and contents of CoalMan database, then shows the data management methods. A complex data analysis package is outlined too, as
the core of the information system
EAGLE 2006 – Multi-purpose, multi-angle and multi-sensor in-situ and airborne campaigns over grassland and forest
EAGLE2006 - an intensive field campaign - was carried out in the Netherlands from the 8th until the
18th of June 2006. Several airborne sensors - an optical imaging sensor, an imaging microwave
radiometer, and a flux airplane – were used and extensive ground measurements were conducted over
one grassland (Cabauw) site and two forest sites (Loobos & Speulderbos) in the central part of the
Netherlands, in addition to the acquisition of multi-angle and multi-sensor satellite data. The data set is
both unique and urgently needed for the development and validation of models and inversion
algorithms for quantitative surface parameter estimation and process studies. EAGLE2006 was led by
the Department of Water Resources of the International Institute for Geo-Information Science and
Earth Observation and originated from the combination of a number of initiatives coming under
different funding. The objectives of the EAGLE2006 campaign were closely related to the objectives of
other ESA Campaigns (SPARC2004, Sen2Flex2005 and especially AGRISAR2006). However, one
important objective of the campaign is to build up a data base for the investigation and validation of the
retrieval of bio-geophysical parameters, obtained at different radar frequencies (X-, C- and L-Band)
and at hyperspectral optical and thermal bands acquired over vegetated fields (forest and grassland). As
such, all activities were related to algorithm development for future satellite missions such as Sentinels
and for satellite validations for MERIS, MODIS as well as AATSR and ASTER thermal data
validation, with activities also related to the ASAR sensor on board ESA’s Envisat platform and those
on EPS/MetOp and SMOS. Most of the activities in the campaign are highly relevant for the EU
GEMS EAGLE project, but also issues related to retrieval of biophysical parameters from MERIS and
MODIS as well as AATSR and ASTER data were of particular relevance to the NWO-SRON EcoRTM
project, while scaling issues and complementary between these (covering only local sites) and global
sensors such as MERIS/SEVIRI, EPS/MetOP and SMOS were also key elements for the SMOS cal/val
project and the ESA-MOST DRAGON programme. This contribution describes the mission objectives
and provides an overview of the airborne and field campaigns
Canopy structural modeling using object-oriented image classification and laser scanning
A terrestrial laser scanning (TLS) experiment was carried out in the EAGLE 2006 campaign to characterize and model
the canopy structure of the Speulderbos forest. Semi-variogram analysis was used to describe spatial variability of the
surface. The dependence of the spatial variability on the applied grid size showed, that in this forest spatial details of the
digital surface model are lost in the case of larger than 0.3-0.4 m grid size. Voxel statistics was used for describing the
density of the canopy structure. Five zones of the canopy were identified according to their density distribution. Basic
geometric structures were tested for modeling the forest at the individual tree level. The results create a firm basis for
modeling physical processes in the canopy
Cross - fertilization between three different teaching modes for geo - informatics education
Objective of this study was to determine if the use and student appreciation of course
materials differs for native materials (materials that were developed for that course type in
which they are used) and foreign materials (materials that were developed for another course
type) and if the way the materials are used, (compulsory versus optional, interchangeable
versus the only source of information) affects the student appreciation.
A comparison was made between a face-to-face course, a blended learning course and a
distance course. The comparison was based on a questionnaire, the course evaluation and the
statistics from the digital learning environments. Results show no difference between native
and foreign course materials, but do however show the influence of the way the materials
were used. Appreciation for compulsory, non-interchangeable materials is higher than for
optional interchangeable ones, but even for this last category the general appreciation is high.
Distance students have the highest overall appreciation for study materials, followed by the
face-to-face students
- …