Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data
出版年份 2014 全文链接
标题
Identifying Changing Snow Cover Characteristics in Central Asia between 1986 and 2014 from Remote Sensing Data
作者
关键词
-
出版物
Remote Sensing
Volume 6, Issue 12, Pages 12752-12775
出版商
MDPI AG
发表日期
2014-12-19
DOI
10.3390/rs61212752
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Snow-cover variability in central Asia between 2000 and 2011 derived from improved MODIS daily snow-cover products
- (2013) Andreas Juergen Dietz et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Deriving long term snow cover extent dataset from AVHRR and MODIS data: Central Asia case study
- (2013) Hang Zhou et al. REMOTE SENSING OF ENVIRONMENT
- Validation of a modified snow cover retrieval algorithm from historical 1-km AVHRR data over the European Alps
- (2012) F. Hüsler et al. REMOTE SENSING OF ENVIRONMENT
- Satellite based observations for seasonal snow cover detection and characterisation in Australia
- (2012) Kathryn J. Bormann et al. REMOTE SENSING OF ENVIRONMENT
- Sentinels for science: Potential of Sentinel-1, -2, and -3 missions for scientific observations of ocean, cryosphere, and land
- (2012) Zbyněk Malenovský et al. REMOTE SENSING OF ENVIRONMENT
- The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission
- (2012) C. Donlon et al. REMOTE SENSING OF ENVIRONMENT
- Sentinel-2: ESA's Optical High-Resolution Mission for GMES Operational Services
- (2012) M. Drusch et al. REMOTE SENSING OF ENVIRONMENT
- European Snow Cover Characteristics between 2000 and 2011 Derived from Improved MODIS Daily Snow Cover Products
- (2012) Andreas J. Dietz et al. Remote Sensing
- A review of global satellite-derived snow products
- (2011) Allan Frei et al. ADVANCES IN SPACE RESEARCH
- 21st Century changes in snow climate in Northern Europe: a high-resolution view from ENSEMBLES regional climate models
- (2011) Jouni Räisänen et al. CLIMATE DYNAMICS
- Will climate change exacerbate water stress in Central Asia?
- (2011) Tobias Siegfried et al. CLIMATIC CHANGE
- Validation of MODIS snow cover products using Landsat and ground measurements during the 2001–2005 snow seasons over northern Xinjiang, China
- (2011) Xiaodong Huang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Remote sensing of snow – a review of available methods
- (2011) Andreas Juergen Dietz et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Facts and Perspectives of Water Reservoirs in Central Asia: A Special Focus on Uzbekistan
- (2010) Shavkat Rakhmatullaev et al. Water
- Implications of global climate change for snowmelt hydrology in the twenty-first century
- (2009) Jennifer C. Adam et al. HYDROLOGICAL PROCESSES
- Climate and environmental change in arid Central Asia: Impacts, vulnerability, and adaptations
- (2009) E. Lioubimtseva et al. JOURNAL OF ARID ENVIRONMENTS
- New methods for studying the spatiotemporal variation of snow cover based on combination products of MODIS Terra and Aqua
- (2009) Xianwei Wang et al. JOURNAL OF HYDROLOGY
- A regional snow-line method for estimating snow cover from MODIS during cloud cover
- (2009) J. Parajka et al. JOURNAL OF HYDROLOGY
- Retrieval of subpixel snow covered area, grain size, and albedo from MODIS
- (2009) Thomas H. Painter et al. REMOTE SENSING OF ENVIRONMENT
- The Response of Northern Hemisphere Snow Cover to a Changing Climate*
- (2008) Ross D. Brown et al. JOURNAL OF CLIMATE
- The contribution of AMSR-E 18.7 and 10.7 GHz measurements to improved boreal forest snow water equivalent retrievals
- (2008) Chris Derksen REMOTE SENSING OF ENVIRONMENT
- Detection of pan-Arctic terrestrial snowmelt from QuikSCAT, 2000–2005
- (2008) L WANG et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of MODIS snow cover and cloud mask and its application in Northern Xinjiang, China
- (2007) X WANG et al. REMOTE SENSING OF ENVIRONMENT
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