The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Dennis P Lettenmaier - One of the best experts on this subject based on the ideXlab platform.
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Remote Sensing: hydrology:
Progress in Physical Geography, 2009Co-Authors: Qiuhong Tang, Huilin Gao, Hui Lu, Dennis P LettenmaierAbstract:Satellite Remote Sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using Remote Sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via Remote Sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by Remote Sensing, attempts to close the surface water budget from Remote Sensing al...
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Remote Sensing: hydrology:
Progress in Physical Geography, 2009Co-Authors: Qiuhong Tang, Huilin Gao, Hui Lu, Dennis P LettenmaierAbstract:Satellite Remote Sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using Remote Sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via Remote Sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by Remote Sensing, attempts to close the surface water budget from Remote Sensing al...
Xiaojun Yang - One of the best experts on this subject based on the ideXlab platform.
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Urban Remote Sensing - What is Urban Remote Sensing
Urban Remote Sensing, 2011Co-Authors: Xiaojun YangAbstract:This introductory chapter defines the scope of urban Remote Sensing research. It begins with a discussion on the rationale leading to the development of Remote Sensing for urban studies and the motivation behind this book project emphasizing the need to adopt a broad vision on urban Remote Sensing research. It then discusses the benefits and possible challenges of using Remote Sensing for urban studies, followed by an overview of the major topics discussed in the book. Finally, the chapter highlights several areas that need further attention.
Qiuhong Tang - One of the best experts on this subject based on the ideXlab platform.
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Remote Sensing: hydrology:
Progress in Physical Geography, 2009Co-Authors: Qiuhong Tang, Huilin Gao, Hui Lu, Dennis P LettenmaierAbstract:Satellite Remote Sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using Remote Sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via Remote Sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by Remote Sensing, attempts to close the surface water budget from Remote Sensing al...
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Remote Sensing: hydrology:
Progress in Physical Geography, 2009Co-Authors: Qiuhong Tang, Huilin Gao, Hui Lu, Dennis P LettenmaierAbstract:Satellite Remote Sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using Remote Sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via Remote Sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by Remote Sensing, attempts to close the surface water budget from Remote Sensing al...
B. Manikiam - One of the best experts on this subject based on the ideXlab platform.
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Indian Remote Sensing programme
Geocarto International, 1991Co-Authors: M.g. Chandrasekhar, K Radhakrishnan, Vasanth Jayaraman, B. ManikiamAbstract:Abstract Design and development of Indian Remote Sensing Satellite, IRS‐1A and the successful operation of the space and ground segments of IRS‐1A over the past three years form a major milestone in the Indian Remote Sensing Programme. Significant growth in Remote Sensing application/activities in almost all the sectors of natural resources survey and management, supply of various Remote Sensing data products to Indian users in turn around time of 8–10 days, development of Remote Sensing infrastructure at central/state user organisations for utilisation of Remote Sensing, indigenous development of various Remote Sensing interpretation equipments/ Image Processing Systems /Software, and continued user interaction and information dissemination are some of the major highlights of the Indian Remote Sensing Programme.
Hui Lu - One of the best experts on this subject based on the ideXlab platform.
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Remote Sensing: hydrology:
Progress in Physical Geography, 2009Co-Authors: Qiuhong Tang, Huilin Gao, Hui Lu, Dennis P LettenmaierAbstract:Satellite Remote Sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using Remote Sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via Remote Sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by Remote Sensing, attempts to close the surface water budget from Remote Sensing al...
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Remote Sensing: hydrology:
Progress in Physical Geography, 2009Co-Authors: Qiuhong Tang, Huilin Gao, Hui Lu, Dennis P LettenmaierAbstract:Satellite Remote Sensing is a viable source of observations of land surface hydrologic fluxes and state variables, particularly in regions where in situ networks are sparse. Over the last 10 years, the study of land surface hydrology using Remote Sensing techniques has advanced greatly with the launch of NASA’s Earth Observing System (EOS) and other research satellite platforms, and with the development of more sophisticated retrieval algorithms. Most of the constituent variables in the land surface water balance (eg, precipitation, evapotranspiration, snow and ice, soil moisture, and terrestrial water storage variations) are now observable at varying spatial and temporal resolutions and accuracy via Remote Sensing. We evaluate the current status of estimates of each of these variables, as well as river discharge, the direct estimation of which is not yet possible. Although most of the constituent variables are observable by Remote Sensing, attempts to close the surface water budget from Remote Sensing al...