Literature DB >> 25500156

NASA Land Cover and Land Use Change (LCLUC): an interdisciplinary research program.

Chris Justice1, Garik Gutman2, Krishna Prasad Vadrevu1.   

Abstract

Understanding Land Cover/Land Use Change (LCLUC) in diverse regions of the world and at varied spatial scales is one of the important challenges in global change research. In this article, we provide a brief overview of the NASA LCLUC program, its focus areas, and the importance of satellite remote sensing observations in LCLUC research including future directions. The LCLUC Program was designed to be a cross-cutting theme within NASA's Earth Science program. The program aims to develop and use remote sensing technologies to improve understanding of human interactions with the environment. Since 1997, the NASA LCLUC program has supported nearly 280 research projects on diverse topics such as forest loss and carbon, urban expansion, land abandonment, wetland loss, agricultural land use change and land use change in mountain systems. The NASA LCLUC program emphasizes studies where land-use changes are rapid or where there are significant regional or global LCLUC implications. Over a period of years, the LCLUC program has contributed to large regional science programs such as Land Biosphere-Atmosphere (LBA), the Northern Eurasia Earth Science Partnership Initiative (NEESPI), and the Monsoon Area Integrated Regional Study (MAIRS). The primary emphasis of the program will remain on using remote sensing datasets for LCLUC research. The program will continue to emphasize integration of physical and social sciences to address regional to global scale issues of LCLUC for the benefit of society.
Copyright © 2014. Published by Elsevier Ltd.

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Year:  2015        PMID: 25500156     DOI: 10.1016/j.jenvman.2014.12.004

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  4 in total

1.  Automatic sub-pixel co-registration of Landsat-8 OLI and Sentinel-2A MSI images using phase correlation and machine learning based mapping.

Authors:  Sergii Skakun; Jean-Claude Roger; Eric F Vermote; Jeffrey G Masek; Christopher O Justice
Journal:  Int J Digit Earth       Date:  2017-03-23       Impact factor: 3.538

2.  A Comparative Analysis on Assessment of Land Carrying Capacity with Ecological Footprint Analysis and Index System Method.

Authors:  Yao Qian; Lina Tang; Quanyi Qiu; Tong Xu; Jiangfu Liao
Journal:  PLoS One       Date:  2015-06-29       Impact factor: 3.240

3.  Impact of Land Use/Cover Change on Yangtze River Delta Urban Agglomeration Ecosystem Services Value: Temporal-Spatial Patterns and Cold/Hot Spots Ecosystem Services Value Change Brought by Urbanization.

Authors:  Zhigang Li; Zishu Sun; Yangjie Tian; Jialong Zhong; Wunian Yang
Journal:  Int J Environ Res Public Health       Date:  2019-01-04       Impact factor: 3.390

4.  Land cover, land use changes and air pollution in Asia: a synthesis.

Authors:  Krishna Vadrevu; Toshimasa Ohara; Chris Justice
Journal:  Environ Res Lett       Date:  2017-12-14       Impact factor: 6.793

  4 in total

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