Optimal MODIS data processing for accurate multi-year paddy rice area mapping in China
出版年份 2020 全文链接
标题
Optimal MODIS data processing for accurate multi-year paddy rice area mapping in China
作者
关键词
-
出版物
GIScience & Remote Sensing
Volume 57, Issue 5, Pages 687-703
出版商
Informa UK Limited
发表日期
2020-06-08
DOI
10.1080/15481603.2020.1773012
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。- Land cover classification in the tropics, solving the problem of cloud covered areas using topographic parameters
- (2019) Dhruba Pikha Shrestha et al. International Journal of Applied Earth Observation and Geoinformation
- Optimising rice mapping in cloud-prone environments by combining quad-source optical with Sentinel-1A microwave satellite imagery
- (2019) Lamin R. Mansaray et al. GIScience & Remote Sensing
- Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time-series
- (2018) Alex O. Onojeghuo et al. GIScience & Remote Sensing
- Mapping croplands, cropping patterns, and crop types using MODIS time-series data
- (2018) Yaoliang Chen et al. International Journal of Applied Earth Observation and Geoinformation
- Comparing different smoothing methods to detect double-cropping rice phenology based on LAI products – a case study in the Hunan province of China
- (2018) Chenzhi Wang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Estimating sowing dates from satellite data over the U.S. Midwest: A comparison of multiple sensors and metrics
- (2018) Daniel Urban et al. REMOTE SENSING OF ENVIRONMENT
- A high-performance and in-season classification system of field-level crop types using time-series Landsat data and a machine learning approach
- (2018) Yaping Cai et al. REMOTE SENSING OF ENVIRONMENT
- Mapping Early, Middle and Late Rice Extent Using Sentinel-1A and Landsat-8 Data in the Poyang Lake Plain, China
- (2018) Haifeng Tian et al. SENSORS
- Classification and Mapping of Paddy Rice by Combining Landsat and SAR Time Series Data
- (2018) Seonyoung Park et al. Remote Sensing
- Sen4Rice: A Processing Chain for Differentiating Early and Late Transplanted Rice Using Time-Series Sentinel-1 SAR Data With Google Earth Engine
- (2018) Dipankar Mandal et al. IEEE Geoscience and Remote Sensing Letters
- Mapping Paddy Rice Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China
- (2018) Meng Zhang et al. Remote Sensing
- Mapping paddy rice in Jiangsu Province, China, based on phenological parameters and a decision tree model
- (2018) Jianhong Liu et al. Frontiers of Earth Science
- Analysing spatial–temporal changes in rice cultivation practices in the Senegal River Valley using MODIS time-series and the PhenoRice algorithm
- (2018) Lorenzo Busetto et al. International Journal of Applied Earth Observation and Geoinformation
- PhenoRice: A method for automatic extraction of spatio-temporal information on rice crops using satellite data time series
- (2017) Mirco Boschetti et al. REMOTE SENSING OF ENVIRONMENT
- An Automated Approach to Map Winter Cropped Area of Smallholder Farms across Large Scales Using MODIS Imagery
- (2017) Meha Jain et al. Remote Sensing
- MODIStsp : An R package for automatic preprocessing of MODIS Land Products time series
- (2016) L. Busetto et al. COMPUTERS & GEOSCIENCES
- Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data
- (2016) Yaoliang Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Delineating and predicting changes in rice cropping systems using multi-temporal MODIS data in Myanmar
- (2016) Nguyen-Thanh Son et al. Journal of Spatial Science
- Mapping Paddy Rice in China in 2002, 2005, 2010 and 2014 with MODIS Time Series
- (2016) Kersten Clauss et al. Remote Sensing
- Characterizing Cropland Phenology in Major Grain Production Areas of Russia, Ukraine, and Kazakhstan by the Synergistic Use of Passive Microwave and Visible to Near Infrared Data
- (2016) Woubet Alemu et al. Remote Sensing
- Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data
- (2015) Geli Zhang et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Tracking the dynamics of paddy rice planting area in 1986–2010 through time series Landsat images and phenology-based algorithms
- (2015) Jinwei Dong et al. REMOTE SENSING OF ENVIRONMENT
- Tracking Land Use/Land Cover Dynamics in Cloud Prone Areas Using Moderate Resolution Satellite Data: A Case Study in Central Africa
- (2015) Bikash Basnet et al. Remote Sensing
- Mapping Fractional Cropland Distribution in Mato Grosso, Brazil Using Time Series MODIS Enhanced Vegetation Index and Landsat Thematic Mapper Data
- (2015) Changming Zhu et al. Remote Sensing
- Mapping seasonal rice cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500m data for the year 2010
- (2014) Murali Krishna Gumma et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Comparative Analysis of Normalised Difference Spectral Indices Derived from MODIS for Detecting Surface Water in Flooded Rice Cropping Systems
- (2014) Mirco Boschetti et al. PLoS One
- Continuous change detection and classification of land cover using all available Landsat data
- (2014) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Multi-year monitoring of paddy rice planting area in Northeast China using MODIS time series data
- (2013) Jing-jing Shi et al. Journal of Zhejiang University-SCIENCE B
- A Phenology-Based Classification of Time-Series MODIS Data for Rice Crop Monitoring in Mekong Delta, Vietnam
- (2013) Nguyen-Thanh Son et al. Remote Sensing
- Winter wheat area estimation from MODIS-EVI time series data using the Crop Proportion Phenology Index
- (2012) Yaozhong Pan et al. REMOTE SENSING OF ENVIRONMENT
- Classifying multiyear agricultural land use data from Mato Grosso using time-series MODIS vegetation index data
- (2012) J. Christopher Brown et al. REMOTE SENSING OF ENVIRONMENT
- Changes in agricultural cropland areas between a water-surplus year and a water-deficit year impacting food security, determined using MODIS 250 m time-series data and spectral matching techniques, in the Krishna River basin (India)
- (2011) Murali Krishna Gumma et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Classification of rice cropping systems by empirical mode decomposition and linear mixture model for time-series MODIS 250 m NDVI data in the Mekong Delta, Vietnam
- (2011) C. F. Chen et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program
- (2011) Claire Boryan et al. Geocarto International
- Detection and estimation of mixed paddy rice cropping patterns with MODIS data
- (2010) Dailiang Peng et al. International Journal of Applied Earth Observation and Geoinformation
- Multi-year monitoring of rice crop phenology through time series analysis of MODIS images
- (2009) M. Boschetti et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Sensitivity of vegetation phenology detection to the temporal resolution of satellite data
- (2009) Xiaoyang Zhang et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Development of a two-band enhanced vegetation index without a blue band
- (2008) Z JIANG et al. REMOTE SENSING OF ENVIRONMENT
- Wavelet analysis of MODIS time series to detect expansion and intensification of row-crop agriculture in Brazil
- (2007) Gillian L. Galford et al. REMOTE SENSING OF ENVIRONMENT
- Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains
- (2007) Brian D. Wardlow et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started