Satellite remote sensing for assessment of irrigation system performance: a case study in India

Irrigation management / Irrigated farming / Agricultural production / Irrigation systems / Food production / Rice / Cropping systems / Crop yield / Remote sensing / GIS / Models / Policy / Case studies / Satellite surveys / Performance evaluation / India / Bhadra Project

Modernization using the structured system design of the Bhadra Reservoir Project, India: an intervention analysis

Performance evaluationIrrigation programsModernizationParticipatory managementFarmer participationFarmer-agency interactionsFarmers' attitudesRemote sensingRiceIrrigated farmingWater distributionWater supplyProductivity

Performance evaluation of the Bhakra Irrigation System, India, using remote sensing and GIS techniques

Irrigation systems / Irrigation canals / Irrigation scheduling / Performance evaluation / Remote sensing / GIS / Irrigated farming / Satellite surveys / Sustainable agriculture / Productivity / Groundwater / Salinity / Crop yield / Wheat / Surface irrigation / India / Bhakra Irrigation System

Remote sensing and hydrologic models for performance assessment in Sirsa Irrigation Circle, India

Irrigation management / Irrigation systems / Irrigation canals / Performance evaluation / Remote sensing / GIS / Models / Irrigated farming / Hydrology / Satellite surveys / Irrigation scheduling / Evapotranspiration / India

Monitoring of Spatiotemporal Dynamics of Rabi Rice Fallows in South Asia Using Remote Sensing

Cereals and grain legumes are the most important part of human diet and nutrition. The expansion of grain legumes with improved productivity to cater the growing population’s nutritional security is of prime importance and need of the hour. Rice fallows are best niche areas with residual moisture to grow short-duration legumes, thereby achieving intensification. Identifying suitable areas for grain legumes and cereal grains is important in this region. In this context, the goal of this study was to map fallow lands followed by rainy season ( kharif ) rice cultivation or post-rainy ( rabi ) fallows in rice-growing environments between 2005 and 2015 using temporal moderate-resolution imaging spectroradiometer (MODIS) data applying spectral matching techniques. This study was conducted in South Asia where different rice ecosystems exist. MODIS 16 day normalized difference vegetation index (NDVI) at 250 m spatial resolution and season-wise-intensive ground survey data were used to map rice systems and the fallows thereafter ( rabi fallows) in South Asia. The rice maps were validated with independent ground survey data and compared with available subnational-level statistics. Overall accuracy and kappa coefficient estimated for rice classes were 81.5% and 0.79%, respectively, with ground survey data. The derived physical rice area and irrigated areas were highly correlated with the subnational statistics with R ^ 2 values of 94% at the district level for the years 2005–2006 and 2015–2016. Results clearly show that rice fallow areas increased from 2005 to 2015. The results show spatial distribution of rice fallows in South Asia, which are identified as target domains for sustainable intensification of short-duration grain legumes, fixing the soil nitrogen and increasing incomes of small-holder farmers

Computer Aided Hydrologic Land Use Mapping Using Satellite and Aircraft Sensed Data: Indian Case Studies

This paper presents the results of two studies on computer analysis of Landsat-derived and aircraft based multispectral scanner data towards hydrologic land use mapping, necessary for effective water resources planning and management. The analyses were performed on the interactive Multispectral Data Analysis system (MDAS) at the National Remote Sensing Agency (NRSA) headquarters in Hyderabad, India. The first study involved automated generation of hydrologic land use information to support regional ground water exploration programmes in the Semiarid Southern parts of Tamil Nadu State in India. The accuracy of computer categorisation was estimated through stratified random sampling techniques to be around 70 percent. At 95 percent confidence level, the accuracy estimate ranged from 66 to 88 percent. Computer analysis of airborne 11 channel scanner data, to be optimum, requires that minimum number of channels of data be used commensurate with information requirements. The results of a test study indicate that for a typical MDAS analysis involving 36 spectral groups (8 flood plain land use categories) there can be a reduction of about 130 minutes in CPU time when four channels of data are used instead of all the 11 bands. The disc-memory space for 4 channel analysis is only about 50 percent of that needed for 11 channels of data. The categorisation accuracy was comparable even with four channels of data. Further the uncategorised area was 15.7 percent with 11 channels of data compared to 1.14 percent with 4 channels of data. Thus, in this regional level flood plain land use categorisation effort only 4 out of 11 channels needed to be used to obtain comparable results but at a significantly lower computer cost

Satellite remote sensing for assessment of irrigation system performance: a case study in India

Describes the use of satellite remote sensing and geographic information system techniques to obtain information on primary agricultural productivity and irrigation system performance in a large rice irrigation system in India. Discusses the potential and cost-effectiveness of SRS techniques for making inventories and monitoring agricultural productivity