The spatial visions of water use in irrigated lands of the Khorezm region, located in the lower reaches of the Amudarya River, were mapped and monitored using MODIS data. Land use were classified by using a recursive partitioning and regression tree with 250 m MODIS Normalized Difference Vegetation Index (NDVI) time series. Seasonal actual evapotranspiration was obtained by applying the Surface Energy Balance Algorithm for Land to 1 km daily MODIS data. In Khorezm, seasonal maximum values superior to 1,200 and 1,000 mm ET were estimated for rice and cotton fields, respectively
Rice is one of the major crops cultivated predominantly in flooded paddies, thus a large amount of w...
The objective of this work is the development of a new approach for the estimation of water requirem...
Continually increasing world population requires additional food production in the face of growing w...
Spatial and temporal patterns of water depletion in the irrigated land of Khorezm, a region located ...
Accurate crop performance monitoring and production estimation are critical fortimely assessment of ...
The primary goal of this dissertation was to leverage the capabilities of remote sensing technology ...
Remote sensing-based assessments of large river basins such as the Krishna, which supplies water to ...
Energy-water-carbon cycle is the central theme of biosphere-atmosphere interaction to understand the...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...
The overarching goal of this research was to map crop water productivity using satellite sensor data...
Evapotranspiration (ET) is a key parameter for irrigation planning and management, and it is a cruci...
This work presents a simple, cost-effective, and operational approach to monitor crop water requirem...
The aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping w...
Spatially distributed actual evapotranspiration (ETa) values were estimated based on satellite data ...
Rice and wheat are very important grain crops and are heavily grown in lands between the Ravi and Ch...
Rice is one of the major crops cultivated predominantly in flooded paddies, thus a large amount of w...
The objective of this work is the development of a new approach for the estimation of water requirem...
Continually increasing world population requires additional food production in the face of growing w...
Spatial and temporal patterns of water depletion in the irrigated land of Khorezm, a region located ...
Accurate crop performance monitoring and production estimation are critical fortimely assessment of ...
The primary goal of this dissertation was to leverage the capabilities of remote sensing technology ...
Remote sensing-based assessments of large river basins such as the Krishna, which supplies water to ...
Energy-water-carbon cycle is the central theme of biosphere-atmosphere interaction to understand the...
Recent improvements in spatial and temporal resolution of remotely sensed data have opened new possi...
The overarching goal of this research was to map crop water productivity using satellite sensor data...
Evapotranspiration (ET) is a key parameter for irrigation planning and management, and it is a cruci...
This work presents a simple, cost-effective, and operational approach to monitor crop water requirem...
The aim of this study was to combine the FAO-56 dual approach and remotely-sensed data for mapping w...
Spatially distributed actual evapotranspiration (ETa) values were estimated based on satellite data ...
Rice and wheat are very important grain crops and are heavily grown in lands between the Ravi and Ch...
Rice is one of the major crops cultivated predominantly in flooded paddies, thus a large amount of w...
The objective of this work is the development of a new approach for the estimation of water requirem...
Continually increasing world population requires additional food production in the face of growing w...