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基于Landsat影像的石漠化区植被动态监测及治理效益研究 期刊论文
发表期刊: 农业工程学报. 出版年: 2019, 卷号: 35, 期号: 8, 页码: 221-229
作者:  章维鑫;  曹建华;  吴秀芹
收藏  |  浏览/下载:3/0  |  提交时间:2019/11/29
remote sensing  spatio-temporal change  vegetation  driving factors  Luxi  
Urbanization, Industrial Development and Environmental Externalities: Discussing the Impact of Economic Cycles on a Local Community 期刊论文
发表期刊: INTERNATIONAL JOURNAL OF ECOLOGICAL ECONOMICS & STATISTICS. 出版年: 2019, 卷号: 40, 期号: 3, 页码: 59-74
作者:  Mavrakis, A.;  Zambon, I;  Salvati, L.;  Tsiros, I;  Papavasileiou, C.
收藏  |  浏览/下载:6/0  |  提交时间:2021/01/08
Air pollution  Urban sprawl  Climate aridity  Transportation  Greece  
A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya's Operational Drought Monitoring 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2019, 卷号: 11, 期号: 9
作者:  Adede, Chrisgone;  Oboko, Robert;  Wagacha, Peter Waiganjo;  Atzberger, Clement
收藏  |  浏览/下载:7/0  |  提交时间:2019/11/29
general additive model  drought risk management  early warning system  model selection  overfitting  cross-validation  
Towards Using Vegetation Greening and Browning Patterns obtained from Time Series of Remote Sensing Observations for Irrigation Water Management 会议论文
会议名称: Conference on Remote Sensing for Agriculture, Ecosystems, and Hydrology XXI held at SPIE Remote Sensing. 会议地点: Strasbourg, FRANCE. 会议日期: SEP 09-11, 2019
作者:  Sawant, Suryakant;  Mohite, Jayantrao;  Surapaneni, Priyanka;  Pandit, Ankur;  Pappula, Srinivasu
收藏  |  浏览/下载:16/0  |  提交时间:2021/11/30
semi-arid areas  time series of remote sensing  vegetation growth stages  subsistence irrigation  irrigation water management  
A Multisensor Approach to Satellite Monitoring of Trends in Lake Area, Water Level, and Volume 期刊论文
发表期刊: REMOTE SENSING. 出版年: 2019, 卷号: 11, 期号: 2
作者:  Chipman, JonathanW.
收藏  |  浏览/下载:9/0  |  提交时间:2019/11/29
lakes  NDLI  ELI  water budget  MODIS  Landsat  ICESat  ASTER  Toshka  Tushka  
Drought hazard in Kazakhstan in 2000-2016: a remote sensing perspective 期刊论文
发表期刊: ENVIRONMENTAL MONITORING AND ASSESSMENT. 出版年: 2019, 卷号: 191, 期号: 8
作者:  Dubovyk, Olena;  Ghazaryan, Gohar;  Gonzalez, Javier;  Graw, Valerie;  Loew, Fabian;  Schreier, Jonas
收藏  |  浏览/下载:4/0  |  提交时间:2019/11/29
Drought hazard and risk  MODIS  Drought early warning system  For achieving sustainable development goals (SDG)  Central Asia  
Reducing the effects of vegetation phenology on change detection in tropical seasonal biomes 期刊论文
发表期刊: GISCIENCE & REMOTE SENSING. 出版年: 2019, 卷号: 56, 期号: 5, 页码: 699-717
作者:  de Oliveira Silveira, Eduarda Martiniano;  Espirito-Santo, Fernando Del Bon;  Acerbi-Junior, Fausto Weimar;  Galvao, Lenio Soares;  Withey, Kieran Daniel;  Blackburn, George Alan;  de Mello, Jose Marcio;  Shimabukuro, Yosio Edemir;  Domingues, Tomas;  Soares Scolforo, Jose Roberto
收藏  |  浏览/下载:4/0  |  提交时间:2019/11/29
remote sensing  geostatistics  seasonality  LULCC  
Associations between large-scale climate oscillations and land surface phenology in Iran 期刊论文
发表期刊: AGRICULTURAL AND FOREST METEOROLOGY. 出版年: 2019, 卷号: 278
作者:  Araghi, Alireza;  Martinez, Christopher J.;  Adamowski, Jan;  Olesen, Jorgen Eivind
收藏  |  浏览/下载:7/0  |  提交时间:2020/03/23
Climate oscillations  Phenology  AVHRR GIMMS  NDVI3g  Iran  
Remotely sensed albedo allows the identification of two ecosystem states along aridity gradients in Africa 期刊论文
发表期刊: LAND DEGRADATION & DEVELOPMENT. 出版年: 2019, 卷号: 30, 期号: 12, 页码: 1502-1515
作者:  Zhao, Yanchuang;  Wang, Xinyuan;  Novillo, Carlos J.;  Arrogante-Funes, Patricia;  Vazquez-Jimenez, Rene;  Berdugo, Miguel;  Maestre, Fernando T.
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/29
albedo  climate change  dryland degradation  multiple states  remote sensing  
Long-term spatiotemporal variations in satellite-based soil moisture and vegetation indices over Iran 期刊论文
发表期刊: ENVIRONMENTAL EARTH SCIENCES. 出版年: 2019, 卷号: 78, 期号: 12
作者:  Fakharizadehshirazi, Elham;  Sabziparvar, Ali Akbar;  Sodoudi, Sahar
收藏  |  浏览/下载:6/0  |  提交时间:2019/11/29
Soil moisture  Normalized difference vegetation index  Remote sensing  Nonparametric  Mann-Kendall test  Trend-free pre-whitening