Mapping cropping intensity in Huaihe basin using phenology algorithm, all Sentinel-2 and Landsat images in Google Earth Engine-Reference-Cited by-同舟云学术

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Mapping cropping intensity in Huaihe basin using phenology algorithm, all Sentinel-2 and Landsat images in Google Earth Engine

Published:2021-10 Issue: Volume:102 Page:102376
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Pan Li,Xia Haoming,Yang Jia,Niu Wenhui,Wang Ruimeng,Song Hongquan,Guo Yan,Qin Yaochen

Funder

Department of Science and Technology of Henan Province

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference51 articles.

1. Quantifying the area and spatial distribution of double-and triple-cropping croplands in India with multi-temporal MODIS imagery in 2005;Biradar;Int. J. Remote Sens.,2011

2. On the relation between NDVI, fractional vegetation cover, and leaf area index;Carlson;Remote Sens. Environ.,1997

3. Stable classification with limited sample: Transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017;Chen;Sci Bull,2019

4. A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky-Golay filter;Chen;Remote Sens. Environ.,2004

5. Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data;Chen;ISPRS J. Photogramm. Remote Sens.,2016

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2. New Insights on the Information Content of the Normalized Difference Vegetation Index Sentinel-2 Time Series for Assessing Vegetation Dynamics;Remote Sensing;2024-08-14

3. Mapping cropping intensity by identifying bare soil occurrence from Sentinel-2 time series;Computers and Electronics in Agriculture;2024-07

4. National-scale 10-m maps of cropland use intensity in China during 2018–2023;Scientific Data;2024-06-26

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