Journal ArticleDOI
Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images
Xiangming Xiao,Stephen Boles,Steve Frolking,Changsheng Li,Jagadeesh Y. Babu,Jagadeesh Y. Babu,William Salas,Berrien Moore +7 more
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In this article, the authors developed a new geospatial database of paddy rice agriculture for 13 countries in South and Southeast Asia using 8-day composite images (500m spatial resolution) in 2002 from the MODIS sensor onboard the NASA EOS Terra satellite.About:
This article is published in Remote Sensing of Environment.The article was published on 2006-01-15. It has received 664 citations till now. The article focuses on the topics: Paddy field & Moderate-resolution imaging spectroradiometer.read more
Citations
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Journal ArticleDOI
Deep learning based multi-temporal crop classification
Liheng Zhong,Lina Hu,Hang Zhou +2 more
TL;DR: This study shows that the Conv1D-based deep learning framework provides an effective and efficient method of time series representation in multi-temporal classification tasks.
Journal ArticleDOI
Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
Jinwei Dong,Xiangming Xiao,Xiangming Xiao,Michael A. Menarguez,Geli Zhang,Yuanwei Qin,David Thau,Chandrashekhar Biradar,Berrien Moore +8 more
TL;DR: The results indicated that the Landsat 8, GEE, and improved PPPM algorithm can effectively support the yearly mapping of paddy rice in NE Asia and has a high accuracy with the producer (user) accuracy of 73% (92%), based on the validation using very high resolution images and intensive field photos.
Book
Climate change, water and food security.
H. Turral,J. Burke,J.-M. Faures +2 more
TL;DR: The impacts of climate change on the global hydrological cycle are expected to vary the patterns of demand and supply of water for agriculture -the dominant use of freshwater as discussed by the authors, and the implications for local and national food security.
Journal ArticleDOI
Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia
Marius Gilbert,Xiangming Xiao,Dirk U. Pfeiffer,Michael Epprecht,Stephen Boles,Christina Czarnecki,Prasit Chaitaweesub,Wantanee Kalpravidh,Phan Q. Minh,Martin J. Otte,Vincent Martin,Jan Slingenbergh +11 more
TL;DR: A consistent pattern emerges suggesting risk to be associated with duck abundance, human population, and rice cropping intensity in contrast to a relatively low association with chicken numbers, which supports its application to other countries with similar agro-ecological conditions such as Laos or Cambodia.
References
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Journal ArticleDOI
Climate change 2001: the scientific basis
John Theodore Houghton,Y. Ding,David John Griggs,M. Noguer,P. J. van der Linden,X. Dai,K. Maskell,C. A. Johnson +7 more
TL;DR: In this article, the authors present an overview of the climate system and its dynamics, including observed climate variability and change, the carbon cycle, atmospheric chemistry and greenhouse gases, and their direct and indirect effects.
Journal ArticleDOI
Overview of the radiometric and biophysical performance of the MODIS vegetation indices
TL;DR: In this paper, the authors evaluated the performance and validity of the MODIS vegetation indices (VI), the normalized difference vegetation index (NDVI) and enhanced vegetation index(EVI), produced at 1-km and 500-m resolutions and 16-day compositing periods.
Journal ArticleDOI
Global land cover mapping from MODIS: algorithms and early results
Mark A. Friedl,D.K. McIver,J.C.F. Hodges,Xiaoyang Zhang,D. Muchoney,Alan H. Strahler,Curtis E. Woodcock,Sucharita Gopal,Annemarie Schneider,Amanda Cooper,Alessandro Baccini,Feng Gao,Crystal B. Schaaf +12 more
TL;DR: This product provides maps of global land cover at 1-km spatial resolution using several classification systems, principally that of the IGBP, and a supervised classification methodology is used that exploits a global database of training sites interpreted from high-resolution imagery in association with ancillary data.
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Development of a global land cover characteristics database and igbp discover from 1 km avhrr data
Thomas R. Loveland,Bradley C. Reed,Jesslyn F. Brown,Donald O. Ohlen,Zhiliang Zhu,Limin Yang,James W. Merchant +6 more
TL;DR: The IGBP DISCover global land cover product as mentioned in this paper is an integral component of the Global Land Cover database, which provides a unique view of the broad patterns of the biogeographical and ecoclimatic diversity of the global land surface and presents a detailed interpretation of the extent of human development.
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A comparison of vegetation indices over a global set of TM images for EOS-MODIS
TL;DR: In this paper, a set of Landsat Thematic Mapper images representing a wide range of vegetation conditions from the NASA Landsat Pathfinder, global land cover test site (GLCTS) initiative were processed to simulate the Moderate Resolution Imaging Spectroradiometer (MODIS), global vegetation index imagery at 250 m pixel size resolution.