Spatiotemporal Evaluation of Remote Sensing Derived Soil Moisture Deficit for the Sugarcane Crop: A Case Study for the Indo-Gangetic Basin

2020 ◽  
Author(s):  
Anudeep Sure ◽  
Onkar Dikshit
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Crop Production ◽  
Meteorological Parameters ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Crop Water ◽  
Soil Moisture Deficit ◽  
Sugarcane Crop ◽  
Moisture Deficit

<p>This study focuses on the estimation of soil moisture deficit from root zone soil moisture information derived from remotely sensed passive microwave surface soil moisture data for a period of fifteen years (2002 to 2016) for the Indo-Gangetic basin. The remote sensing datasets used to estimate soil moisture deficit are Advanced Microwave Scanning Radiometer for EOS (AMSR-E) and Advanced Microwave Scanning Radiometer - 2 (AMSR-2) by JAXA and NASA. As India is an agrarian country, it is one of the largest producers of sugarcane at the global level and hence, this is the test crop considered for this work. The Indo-Gangetic basin has numerous culturable command areas with dynamic meteorological patterns, soil type, land use and land cover, agricultural practices, water and crop management with different sources of irrigation. Rain-fed irrigation is the primary source of water for crop production in this basin. Sugarcane crop is characterised by specific root depth, crop water requirement, crop length and crop phenology. In India, meteorological parameters primarily, precipitation, temperature and evapotranspiration and the meteorological seasons define the agricultural season (irrigation to harvesting). Here, an interrelationship between soil moisture deficit (at varying depth) and meteorological parameters, precipitation based meteorological indices (Rainfall Anomaly Index, Standardized Precipitation Index and Effective Drought Index), ground-based crop indices (crop yield index, crop area index and crop production index) is analysed at the annual and seasonal scale. The study indicates the paramount effect of the aforementioned factors on soil moisture deficit variable. The temporal variation of soil moisture deficit being served as a proxy for crop water requirement and the model developed from the same provides vital information for an efficient irrigation scheduling, sustainable water resource management for increased crop production and developing crop insurance schemes and policies at the basin level.</p>

scholarly journals Crop Pattern Change and Crop Water Requirement Judgment using Remote Sensing and GIS Techniques: a research on Tungabhadra Dam Right Canal

2019 ◽  
Vol 8 (2S3) ◽  
pp. 652-657
Keyword(s):  
Remote Sensing ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Delta Method ◽  
Geographical Information ◽  
Command Area ◽  
Cropping Pattern ◽  
Crop Water ◽  
Irrigation Project ◽  
Gis Techniques

Agriculture is most important resources of any country worldwide which is a major renewable source and is dynamic. The study area selected was command area under Basavanna canal which is one of the canals to Tungabhadra river on right side bank. This selected canal for cropping pattern analysis has a command of 1240.00 hectare and is located at Vallabhpur, Bellary district. Basavanna canal has a designed discharge capacity of 125 cusecs for serving the cropping area. Every irrigation project has planned cropping pattern, the crop water requirement (CWR) for which is calculated based on Duty / Delta method. However due to growing population and increase demand for food products crop violation is found in every command leading to more irrigation. Remote Sensing (RS) and Geographical Information System (GIS) techniques have emerged as powerful tools for crop water management. Remotely sensed land use-land cover data was used for analysing the cropping pattern in the area and also to estimate the change in the cropping pattern. This study was performed using ArcGIS 9.3 and ERDAS 9 software. Crop water requirement was calculated using Modified Penman Equation for present cropping pattern. The study finds that, approximately 50% of water could be saved using modified Penmen method compared to crop water requirement calculated using Duty Delta method as adopted in project report and the same water may be diverted to meet other needs

scholarly journals Mapping Agewise Discrimination of Arecanut Crop Water Requirement Using Hyperspectral Remote Sensing

2015 ◽  
Vol 4 ◽  
pp. 1437-1444 ◽  
Author(s):  
B.E. Bhojaraja ◽  
Gaurav Hegde ◽  
U. Pruthviraj ◽  
Amba Shetty ◽  
M.K. Nagaraj
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Crop Water

Numerical Techniques to Analyze Crop Water Requirement Using Weather and Soil Moisture Data

2020 ◽  
Author(s):  
M. Fayzul K. Pasha ◽  
Nandakishor Srinivasamurthy ◽  
Dilruba Yeasmin ◽  
Guillermo Valenzuela
Keyword(s):  
Soil Moisture ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Crop Water ◽  
Numerical Techniques ◽  
Soil Moisture Data

scholarly journals Estimation of Arecanut Crop Evapotranspiration Rate using Remote Sensing

2020 ◽  
Vol 9 (4) ◽  
pp. 1814-1817
Keyword(s):  
Remote Sensing ◽  
Hydrological Cycle ◽  
Remote Sensing Data ◽  
Global Scale ◽  
Water Requirement ◽  
Crop Water Requirement ◽  
Landsat 8 ◽  
Crop Evapotranspiration ◽  
Crop Water ◽  
Evapotranspiration Rate

Arecanut is a plantation crop sustains for decades and its crop water demand varies with the age. For scheduling and management of irrigation water, crop water requirement information is important. To calculate the crop water requirement, estimation of evapotranspiration is crucial. The term Evapotranspiration (ET) refers to transport of water molecules into the atmosphere from soil (soil evaporation) and vegetation (transpiration) surfaces. It is a most important component of hydrological cycle and also the most difficult factor to quantify. Crop water need is the amount of water required for balancing loss due to evapotranspiration. There are different methods proposed by researchers for the estimation of evapotranspiration. The conventional methods of evapotranspiration estimation from ground data are tedious. The advancement in remote sensing data provides estimation of evapotranspiration in a global scale. The invention of thermal remote sensing has benefitted greatly since it reduces the field data requirement for estimation of ET. It also helps to understand spatial distribution of landmass and different estimates also in estimation of evapotranspiration over a larger extent timely and periodically. In this study to estimate Arecanut crop evapotranspiration Hargreaves Samani, Penman Monteith and Priestly Taylor methods were used and compared. Arecanut crop evapotranspiration rate estimated form Landsat 8 and MODIS data are showed similar range of values between 3 to 4.45 mm/day. The study area covers an area of 835.3 hectares of Arecanut crop and the gross crop water need is found to be 23059 m 3 .

scholarly journals Potential soil moisture deficit: A useful approach to save water with enhanced growth and productivity of wheat crop

2021 ◽  
Author(s):  
Shahbaz Khan ◽  
Atif Rasool ◽  
Sohail Irshad ◽  
Muhammad Bilal Hafeez ◽  
Madad Ali ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Grain Yield ◽  
Crop Production ◽  
Field Experiments ◽  
Wheat Yield ◽  
Growth And Yield ◽  
Wheat Crop ◽  
Soil Moisture Deficit ◽  
Moisture Deficit ◽  
The Impact

Abstract Wheat is the main crop in the world ranks after rice and the largest grain source of Pakistan. Among several reasons for diminishing wheat yield in Pakistan, water stress throughout the growing season decreases crop production because of the short life span. Two years (2015–16 and 2016–17) field experiments were conducted to assess the impact of various water regimes (full irrigation, irrigation at 45, 60, and 75 mm potential soil moisture deficit (PSMD)) on the growth and yield of wheat. Maximum crop growth rate was recorded by application of irrigation at 45 mm PSMD. Application of irrigation at 45 mm PSMD ensured maximum radiation use efficiency regarding total dry matter production and grain yield. The maximum number of productive tillers, spike length, and grain yield were recorded under 45 mm PSDM treatment. The present results show that the effect of water is more pronounced regarding the growth and productivity of wheat. Application of irrigation at 45 mm PSMD ensures higher economical yield.

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