Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine

Remote Sensing of Environment - Tập 185 - Trang 142-154 - 2016
Jinwei Dong1,2, Xiangming Xiao1,2,3, Michael A. Menarguez1,2, Geli Zhang1,2, Yuanwei Qin1,2, David Thau4, Çhandrashekhar Biradar5, Berrien Moore6
1Center for Spatial Analysis, University of Oklahoma, Norman, OK 73019, USA
2Department of Microbiology and Plant Biology, University of Oklahoma, Norman, OK 73019, USA
3Institute of Biodiversity Science, Fudan University, Shanghai 200433, China
4Google, Mountain View, CA, USA
5International Center for Agricultural Research in Dry Areas, Amman 11195, Jordan
6College of Atmospheric and Geographic Sciences, University of Oklahoma, Norman, OK 73019, USA

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Tài liệu tham khảo

Arino, 2008, GLOBCOVER — The most detailed portrait of Earth, 24

Asner, 2001, Cloud cover in Landsat observations of the Brazilian Amazon, International Journal of Remote Sensing, 22, 3855, 10.1080/01431160010006926

Boschetti, 2014, Comparative analysis of normalised difference spectral indices derived from MODIS for detecting surface water in flooded rice cropping systems, PloS One, 9, 10.1371/journal.pone.0088741

Bridhikitti, 2012, Estimation of Southeast Asian rice paddy areas with different ecosystems from moderate-resolution satellite imagery, Agriculture Ecosystems and Environment, 146, 113, 10.1016/j.agee.2011.10.016

Card, 1982, Using known map category marginal frequencies to improve estimates of thematic map accuracy, Photogrammetric Engineering and Remote Sensing, 48, 431

DeVries, 2015, Robust monitoring of small-scale forest disturbances in a tropical montane forest using Landsat time series, Remote Sensing of Environment, 161, 107, 10.1016/j.rse.2015.02.012

Dong, 2009, Spatio-temporal changes in annual accumulated temperature in China and the effects on cropping systems, 1980s to 2000, Climate Research, 40, 37, 10.3354/cr00823

Dong, 2012, A comparison of forest cover maps in mainland Southeast Asia from multiple sources: PALSAR, MERIS, MODIS and FRA, Remote Sensing of Environment, 127, 60, 10.1016/j.rse.2012.08.022

Dong, 2013, Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery, Remote Sensing of Environment, 134, 392, 10.1016/j.rse.2013.03.014

Dong, 2013, Climate change affecting temperature and aridity zones: A case study in Eastern Inner Mongolia, China from 1960 to 2008, Theoretical and Applied Climatology, 113, 561, 10.1007/s00704-012-0804-x

Dong, 2015, Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms, Remote Sensing of Environment, 160, 99, 10.1016/j.rse.2015.01.004

Ehhalt, 2001

Elert, 2014, Rice by the numbers: A good grain, Nature, 514, S50, 10.1038/514S50a

FAOSTAT, 2010

Farr, 2007, The shuttle radar topography mission, Reviews of Geophysics, 45, 10.1029/2005RG000183

Friedl, 2002, Global land cover mapping from MODIS: Algorithms and early results, Remote Sensing of Environment, 83, 287, 10.1016/S0034-4257(02)00078-0

Friedl, 2010, MODIS collection 5 global land cover: Algorithm refinements and characterization of new datasets, Remote Sensing of Environment, 114, 168, 10.1016/j.rse.2009.08.016

Gibbs, 2010, Tropical forests were the primary sources of new agricultural land in the 1980s and 1990s, Proceedings of the National Academy of Sciences of the United States of America, 107, 16732, 10.1073/pnas.0910275107

Gilbert, 2008, Mapping H5N1 highly pathogenic avian influenza risk in Southeast Asia, Proceedings of the National Academy of Sciences of the United States of America, 105, 4769, 10.1073/pnas.0710581105

Gilbert, 2014, Predicting the risk of avian influenza A H7N9 infection in live-poultry markets across Asia, Nature Communications, 5, 4116, 10.1038/ncomms5116

Gong, 2013, Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data, International Journal of Remote Sensing, 34, 2607, 10.1080/01431161.2012.748992

Hansen, 2013, High-resolution global maps of 21st-century forest cover change, Science, 342, 850, 10.1126/science.1244693

Hermosilla, 2015, An integrated Landsat time series protocol for change detection and generation of annual gap-free surface reflectance composites, Remote Sensing of Environment, 158, 220, 10.1016/j.rse.2014.11.005

Huete, 1997, A comparison of vegetation indices over a global set of TM images for EOS-MODIS, Remote Sensing of Environment, 59, 440, 10.1016/S0034-4257(96)00112-5

Huete, 2002, Overview of the radiometric and biophysical performance of the MODIS vegetation indices, Remote Sensing of Environment, 83, 195, 10.1016/S0034-4257(02)00096-2

Jarvis, 2008

Kontgis, 2015, Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data, Remote Sensing of Environment, 169, 255, 10.1016/j.rse.2015.08.004

LeToan, 1997, Rice crop mapping and monitoring using ERS-1 data based on experiment and modeling results, IEEE Transactions on Geoscience and Remote Sensing, 35, 41, 10.1109/36.551933

Lobell, 2004, Cropland distributions from temporal unmixing of MODIS data, Remote Sensing of Environment, 93, 412, 10.1016/j.rse.2004.08.002

Masek, 2013, United States forest disturbance trends observed using Landsat time series, Ecosystems, 16, 1087, 10.1007/s10021-013-9669-9

Müller, 2015, Mining dense Landsat time series for separating cropland and pasture in a heterogeneous Brazilian savanna landscape, Remote Sensing of Environment, 156, 490, 10.1016/j.rse.2014.10.014

Nemani, 2011, Collaborative supercomputing for global change science, Eos, Transactions American Geophysical Union, 92, 109, 10.1029/2011EO130001

Oguro, 2001, Comparison of SAR and optical sensor data for monitoring of rice plant around Hiroshima, 195

Olofsson, 2013, Making better use of accuracy data in land change studies: Estimating accuracy and area and quantifying uncertainty using stratified estimation, Remote Sensing of Environment, 129, 122, 10.1016/j.rse.2012.10.031

Pan, 2010, Discriminating different landuse types by using multitemporal NDXI in a rice planting area, International Journal of Remote Sensing, 31, 585, 10.1080/01431160902894442

Pan, 2012, Winter wheat area estimation from MODIS-EVI time series data using the crop proportion phenology index, Remote Sensing of Environment, 119, 232, 10.1016/j.rse.2011.10.011

Peel, 2007, Updated world map of the koppen-geiger climate classification, Hydrology and Earth System Sciences, 11, 1633, 10.5194/hess-11-1633-2007

Qin, 2015, Mapping paddy rice planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery, ISPRS Journal of Photogrammetry and Remote Sensing, 105, 220, 10.1016/j.isprsjprs.2015.04.008

Qin, 2016, Mapping forests in monsoon Asia with ALOS PALSAR 50-m mosaic images and MODIS imagery in 2010, Scientific Reports, 6, 20880, 10.1038/srep20880

Roy, 2014, Landsat-8: Science and product vision for terrestrial global change research, Remote Sensing of Environment, 145, 154, 10.1016/j.rse.2014.02.001

Salas, 2007, Mapping and modelling of greenhouse gas emissions from rice paddies with satellite radar observations and the DNDC biogeochemical model, Aquatic Conservation-Marine and Freshwater Ecosystems, 17, 319, 10.1002/aqc.837

Sass, 2002, Photosynthate allocations in rice plants: Food production or atmospheric methane?, Proceedings of the National Academy of Sciences of the United States of America, 99, 11993, 10.1073/pnas.202483599

Scaramuzza, 2012, Development of the Landsat data continuity mission cloud-cover assessment algorithms, IEEE Transactions on Geoscience and Remote Sensing, 50, 1140, 10.1109/TGRS.2011.2164087

Schroeder, 2011, Mapping wildfire and clearcut harvest disturbances in boreal forests with Landsat time series data, Remote Sensing of Environment, 115, 1421, 10.1016/j.rse.2011.01.022

Schroeder, 2014, Improving estimates of forest disturbance by combining observations from Landsat time series with U.S. Forest Service Forest inventory and analysis data, Remote Sensing of Environment, 154, 61, 10.1016/j.rse.2014.08.005

Sun, 2009, Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China, Journal of Zhejiang University-Science A, 10, 1509, 10.1631/jzus.A0820536

Thenkabail, 2009, Irrigated area maps and statistics of India using remote sensing and national statistics, Remote Sensing, 1, 50, 10.3390/rs1020050

Thenkaball, 2007, Spectral matching techniques to determine historical land-use/land-cover (LULC) and irrigated areas using time-series 0.1-degree AVHRR pathfinder datasets, Photogrammetric Engineering and Remote Sensing, 73, 1029

Thi, 2012, Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam, through hyper-temporal SPOT NDVI image analysis, International Journal of Remote Sensing, 33, 415, 10.1080/01431161.2010.532826

Tucker, 1979, Red and photographic infrared linear combinations for monitoring vegetation, Remote Sensing of Environment, 8, 127, 10.1016/0034-4257(79)90013-0

Wardlow, 2008, Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the US Central Great Plains, Remote Sensing of Environment, 112, 1096, 10.1016/j.rse.2007.07.019

Wardlow, 2007, Analysis of time-series MODIS 250 m vegetation index data for crop classification in the US Central Great Plains, Remote Sensing of Environment, 108, 290, 10.1016/j.rse.2006.11.021

Wulder, 2011, Continuity of Landsat observations: Short term considerations, Remote Sensing of Environment, 115, 747, 10.1016/j.rse.2010.11.002

Wulder, 2012, Opening the archive: How free data has enabled the science and monitoring promise of Landsat, Remote Sensing of Environment, 122, 2, 10.1016/j.rse.2012.01.010

Xiao, 2002, Quantitative relationships between field-measured leaf area index and vegetation index derived from VEGETATION images for paddy rice fields, International Journal of Remote Sensing, 23, 3595, 10.1080/01431160110115799

Xiao, 2005, Mapping paddy rice agriculture in southern China using multi-temporal MODIS images, Remote Sensing of Environment, 95, 480, 10.1016/j.rse.2004.12.009

Xiao, 2006, Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images, Remote Sensing of Environment, 100, 95, 10.1016/j.rse.2005.10.004

Yavaşlı, 2016, Change in the glacier extent in Turkey during the Landsat era, Remote Sensing of Environment, 163, 32, 10.1016/j.rse.2015.03.002

Zhang, 2009, Mapping paddy rice with multitemporal ALOS/PALSAR imagery in southeast China, International Journal of Remote Sensing, 30, 6301, 10.1080/01431160902842391

Zhang, 2013, Using long time series of Landsat data to monitor impervious surface dynamics: A case study in the Zhoushan Islands, Journal of Applied Remote Sensing, 7, 073515, 10.1117/1.JRS.7.073515

Zhang, 2015, Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data, ISPRS Journal of Photogrammetry and Remote Sensing, 106, 157, 10.1016/j.isprsjprs.2015.05.011

Zhong, 2014, Efficient corn and soybean mapping with temporal extendability: A multi-year experiment using Landsat imagery, Remote Sensing of Environment, 140, 1, 10.1016/j.rse.2013.08.023

Zhu, 2012, Continuous monitoring of forest disturbance using all available Landsat imagery, Remote Sensing of Environment, 122, 75, 10.1016/j.rse.2011.10.030

Zhu, 2015, Generating synthetic Landsat images based on all available Landsat data: Predicting Landsat surface reflectance at any given time, Remote Sensing of Environment, 162, 67, 10.1016/j.rse.2015.02.009