Evaluation of simulated IRS-1C WiFS data for concurrent monitoring of command areas at disaggregated level

1995 ◽  
Vol 23 (4) ◽  
pp. 185-194 ◽  
Author(s):  
S. Jonna ◽  
K. Abdul Hakeem ◽  
C. S. Murthy ◽  
P. V. Raju ◽  
S. T. Chari
Keyword(s):  
Command Areas ◽  
Wifs Data

Simultaneous use of Landsat-TM and IRS-1C WiFS data in estimating large area tree stem volume and aboveground biomass

2002 ◽  
Vol 82 (1) ◽  
pp. 156-171 ◽  
Author(s):  
Erkki Tomppo ◽  
Mats Nilsson ◽  
Mats Rosengren ◽  
Paula Aalto ◽  
Pamela Kennedy
Keyword(s):  
Aboveground Biomass ◽  
Landsat Tm ◽  
Stem Volume ◽  
Large Area ◽  
Simultaneous Use ◽  
Tree Stem ◽  
Wifs Data

Global-scale patterns and determinants of cropping frequency in irrigation dam command areas

2018 ◽  
Vol 50 ◽  
pp. 110-122 ◽  
Author(s):  
Philippe Rufin ◽  
Christian Levers ◽  
Matthias Baumann ◽  
Jonas Jägermeyr ◽  
Tobias Krueger ◽  
...  
Keyword(s):  
Global Scale ◽  
Cropping Frequency ◽  
Command Areas

scholarly journals Integrated Assessment of no-Regret Climate Change Adaptation Options for Reservoir Catchment and Command Areas

2015 ◽  
Vol 30 (3) ◽  
pp. 1001-1018 ◽  
Author(s):  
Ajay Gajanan Bhave ◽  
Neha Mittal ◽  
Ashok Mishra ◽  
Narendra Singh Raghuwanshi
Keyword(s):  
Climate Change ◽  
Climate Change Adaptation ◽  
Integrated Assessment ◽  
Adaptation Options ◽  
Command Areas

Vegetation cover mapping in India using multi-temporal IRS Wide Field Sensor (WiFS) data

2006 ◽  
Vol 103 (2) ◽  
pp. 190-202 ◽  
Author(s):  
P.K. Kumar Joshi ◽  
P.S. Roy ◽  
Sarnam Singh ◽  
Shefali Agrawal ◽  
Deepshikha Yadav
Keyword(s):  
Vegetation Cover ◽  
Wide Field ◽  
Multi Temporal ◽  
Field Sensor ◽  
Wifs Data

Quantification of improvements by using AWiFS over WiFS data

2007 ◽  
Vol 35 (1) ◽  
pp. 43-52 ◽  
Author(s):  
Manas Ranjan Bhuyan ◽  
Dhani Ram Rajak ◽  
Markand Oza
Keyword(s):  
Wifs Data

Development of Country Mosaic Using IRS-WiFS Data

2007 ◽  
pp. 657-672
Author(s):  
Ch. Venkateswara Rao ◽  
P. Sathyanarayana ◽  
D. S. Jain ◽  
A. S. Manjunath ◽  
K. M. M. Rao
Keyword(s):  
Wifs Data

Farming carps in leased ponds by groups in Chandpur, Bangladesh.

2020 ◽  
Author(s):  
Peter Edwards
Keyword(s):  
Irrigation System ◽  
Development Project ◽  
Small Scale ◽  
Command Area ◽  
Poor People ◽  
Farmed Fish ◽  
Freshwater Aquaculture ◽  
The Poor ◽  
Command Areas

Abstract This case study was prepared as part of an Asian Development Bank (ADB) Special Evaluation Study (SES) on Small-Scale Freshwater Rural Aquaculture for Poverty Reduction. The SES used primary and secondary data and published information to document the human, social, natural, physical and financial capital available to poor people involved in the production and consumption of freshwater farmed fish and to identify channels through which the poor are affected, such as through access to livelihood assets, markets and prices, access to services and facilities, and key institutions and processes. The case study is based on a part of the small-scale fisheries development component of the ADB-financed Command Area Development Project (CADP). The project developed on-farm field irrigation channels, improved the existing water distribution and drainage systems, and provided minor flood protection in the respective command areas of Pabna Irrigation System (PIS) located in Pabna District and Meghna-Dhonagoda Irrigation System (MDIS) located in Chandpur District. This case study focuses on small-scale freshwater aquaculture development in Matlab Upazila of the MDIS command area. An Upazila is an administrative government unit consisting of unions, each of which consists of villages. Aquaculture was developed within the irrigation command areas by providing extension services, organizational and management development support, and credit inputs primarily in small ponds for the poor.

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