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Tree Species Classification Using Plant Functional Traits and Leaf Spectral Properties along the Vertical Canopy Position 期刊论文
REMOTE SENSING, 2022, 卷号: 14, 期号: 24
作者:  Zhang, Yicen;  Wang, Junjie;  Wu, Zhifeng;  Lian, Juyu;  Ye, Wanhui
收藏  |  浏览/下载：1/0  |  提交时间：2024/03/07
Neural network guided interpolation for mapping canopy height of China's forests by integrating GEDI and ICESat-2 data 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2022, 卷号: 269
作者:  Liu, Xiaoqiang;  Su, Yanjun;  Hu, Tianyu;  Yang, Qiuli;  Liu, Bingbing
收藏  |  浏览/下载：1/0  |  提交时间：2024/03/07
Impact of Error in Lidar-Derived Canopy Height and Canopy Base Height on Modeled Wildfire Behavior in the Sierra Nevada, California, USA 期刊论文
REMOTE SENSING, 2018, 卷号: 10, 期号: 1
作者:  Kelly, Maggi;  Su, Yanjun;  Di Tommaso, Stefania;  Fry, Danny L.;  Collins, Brandon M.
收藏  |  浏览/下载：8/0  |  提交时间：2022/02/25
Land use and land cover change in Inner Mongolia - understanding the effects of China's re-vegetation programs 期刊论文
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 204, 页码: 918-930
作者:  Yin, He;  Pflugmacher, Dirk;  Li, Ang;  Li, Zhengguo;  Hostert, Patrick
收藏  |  浏览/下载：14/0  |  提交时间：2022/02/25
Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China 期刊论文
JOURNAL OF ARID LAND, 2016, 卷号: 8, 期号: 3, 页码: 462-477
作者:  Sha Zongyao;  Zhong Jialin;  Bai Yongfei;  Tan Xicheng;  Li, Jonathan
收藏  |  浏览/下载：0/0  |  提交时间：2022/07/08
Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China 期刊论文
JOURNAL OF ARID LAND, 2016, 卷号: 8, 期号: 3
作者:  Sha Zongyao;  Zhong Jialin;  Bai Yongfei;  Tan Xicheng;  Li, Jonathan
收藏  |  浏览/下载：0/0  |  提交时间：2022/07/05
Forest conversion and land use change in rural northwest Yunnan, China - A fine-scale analysis in the context of the 'big picture' 期刊论文
MOUNTAIN RESEARCH AND DEVELOPMENT, 2006, 卷号: 26, 期号: 3, 页码: 227-236
作者:  Willson, Andrew
收藏  |  浏览/下载：12/0  |  提交时间：2012/07/04
Modeling change-pattern-value dynamics on land use: An integrated GIS and artificial neural networks approach 期刊论文
ENVIRONMENTAL MANAGEMENT, 2005, 卷号: 36, 期号: 4, 页码: 576-591
作者:  Wu, SH(吴绍洪)
收藏  |  浏览/下载：12/0  |  提交时间：2011/06/10
SPATIALIZATION MODEL OF POPULATION BASED ON DATASET OF LAND USE AND LAND COVER CHANGE IN CHINA 期刊论文
The spatialization of population of counties in China is significant. Firstly, we can gain the estimated values of population density adaptive to different kinds of regions. Secondly, we can integrate effectively population data with other data including natural resources, environment, society and economy, build I km GRIDs of natural resources reserves per person, population density and other economic and environmental data, which are necessary to the national management and macro adjustment and control of natural resources and dynamic monitoring of population. In order to establish population information system serving national decision-making, three steps ought to be followed: 1) establishing complete geographical spatial data foundation infrastructure including the establishment of electric map of residence with high resolution using topographical map with large scale and high resolution satellite remote sensing data, the determination of attribute information of housing and office buildings, and creating complete set of attribute database and rapid data updating; 2) establishing complete census systems including improving the transformation efficiency from census data to digital database and strengthening the link of census database and geographical spatial database, meanwhile, the government should attach great importance to the establishment and integration of population migration database; 3) considering there is no GIS software specially serving the analysis and management of population data, a practical approach is to add special modules to present software system, which works as a bridge actualizing the digitization and spatialization of population geography research., 2002, 卷号: 12, 期号: 2, 页码: 114-119
作者:  Deng Xiang-zheng
收藏  |  浏览/下载：273/81  |  提交时间：2011/06/10

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