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City University of New York (CUNY)

Series

Publications and Research

Civil and Environmental Engineering

Soil moisture

2009

Articles 1 - 2 of 2

Full-Text Articles in Engineering

Non-Parametric Methods For Soil Moisture Retrieval From Satellite Remote Sensing Data, Tarendra Lakhankar, Hosni Ghedira, Marouane Temimi, Manajit Sengupta, Reza Khanbilvardi, Reginald Blake Mar 2009

Non-Parametric Methods For Soil Moisture Retrieval From Satellite Remote Sensing Data, Tarendra Lakhankar, Hosni Ghedira, Marouane Temimi, Manajit Sengupta, Reza Khanbilvardi, Reginald Blake

Publications and Research

Satellite remote sensing observations have the potential for efficient and reliable mapping of spatial soil moisture distributions. However, soil moisture retrievals from active microwave remote sensing data are typically complex due to inherent difficulty in characterizing interactions among land surface parameters that contribute to the retrieval process. Therefore, adequate physical mathematical descriptions of microwave backscatter interaction with parameters such as land cover, vegetation density, and soil characteristics are not readily available. In such condition, non-parametric models could be used as possible alternative for better understanding the impact of variables in the retrieval process and relating it in the absence of ...


Effect Of Land Cover Heterogeneity On Soil Moisture Retrieval Using Active Microwave Remote Sensing Data, Tarendra Lakhankar, Hosni Ghedira, Marouane Temimi, Amir E. Azar, Reza Khanbilvardi Jan 2009

Effect Of Land Cover Heterogeneity On Soil Moisture Retrieval Using Active Microwave Remote Sensing Data, Tarendra Lakhankar, Hosni Ghedira, Marouane Temimi, Amir E. Azar, Reza Khanbilvardi

Publications and Research

This study addresses the issue of the variability and heterogeneity problems that are expected from a sensor with a larger footprint having homogenous and heterogeneous sub-pixels. Improved understanding of spatial variability of soil surface characteristics such as land cover and vegetation in larger footprint are critical in remote sensing based soil moisture retrieval. This study analyzes the sub-pixel variability (standard deviation of subgrid pixels) of Normalized Difference Vegetation Index and SAR backscatter. Backpropagation neural network was used for soil moisture retrieval from active microwave remote sensing data from Southern Great Plains of Oklahoma. The effect of land cover heterogeneity (number ...