Mapping paddy rice planting areas through time series analysis of MODIS land surface temperature and vegetation index data

G Zhang, X Xiao, J Dong, W Kou, C Jin, Y Qin… - ISPRS Journal of …, 2015 - Elsevier
Abstract Knowledge of the area and spatial distribution of paddy rice is important for
assessment of food security, management of water resources, and estimation of greenhouse …

Spatiotemporal patterns of paddy rice croplands in China and India from 2000 to 2015

G Zhang, X Xiao, CM Biradar, J Dong, Y Qin… - Science of the Total …, 2017 - Elsevier
Due to rapid population growth and urbanization, paddy rice agriculture is experiencing
substantial changes in the spatiotemporal pattern of planting areas in the two most populous …

Best accuracy land use/land cover (LULC) classification to derive crop types using multitemporal, multisensor, and multi-polarization SAR satellite images

C Hütt, W Koppe, Y Miao, G Bareth - Remote sensing, 2016 - mdpi.com
When using microwave remote sensing for land use/land cover (LULC) classifications, there
are a wide variety of imaging parameters to choose from, such as wavelength, imaging …

Classification and mapping of paddy rice by combining Landsat and SAR time series data

S Park, J Im, S Park, C Yoo, H Han, J Rhee - Remote Sensing, 2018 - mdpi.com
Rice is an important food resource, and the demand for rice has increased as population
has expanded. Therefore, accurate paddy rice classification and monitoring are necessary …

Monitoring rice growth status in the Mekong Delta, Vietnam using multitemporal Sentinel-1 data

HP Phung, N Lam-Dao, T Nguyen-Huy… - Journal of Applied …, 2020 - spiedigitallibrary.org
Rice is one of the world's most dominant staple foods, and hence rice farming plays a vital
role in a nation's economy and food security. To examine the applicability of synthetic …

Mapping paddy rice planting area in wheat-rice double-cropped areas through integration of Landsat-8 OLI, MODIS and PALSAR images

J Wang, X Xiao, Y Qin, J Dong, G Zhang, W Kou… - Scientific Reports, 2015 - nature.com
As farmland systems vary over space and time (season and year), accurate and updated
maps of paddy rice are needed for studies of food security and environmental problems. We …

[HTML][HTML] 水稻雷达遥感监测研究进展

何泽, 李世华 - 遥感学报, 2023 - ygxb.ac.cn
水稻是重要的粮食作物, 及时准确地获取水稻种植面积和长势信息, 可以为田间耕作管理和农业
政策制定提供支撑. 星载合成孔径雷达SAR (Synthetic Aperture Radar) 成像不受气象干扰 …

[HTML][HTML] Research progress on radar remote sensing for rice growth monitoring

HE Ze, LI Shihua - National Remote Sensing Bulletin, 2023 - ygxb.ac.cn
Rice is one of the most productive food crops of Asian countries. Timely and accurate access
to rice cultivation information can provide professional support for farming management and …

Field-based rice classification in Wuhua county through integration of multi-temporal Sentinel-1A and Landsat-8 OLI data

H Yang, B Pan, W Wu, J Tai - … journal of applied earth observation and …, 2018 - Elsevier
Rice is one of the most important cereals in the world. With the change of agricultural land, it
is urgently necessary to update information about rice planting areas. This study aims to …

Combination of Landsat 8 OLI and Sentinel-1 SAR time-series data for mapping paddy fields in parts of west and Central Java Provinces, Indonesia

S Arjasakusuma, S Swahyu Kusuma, R Rafif… - … International Journal of …, 2020 - mdpi.com
The rise of Google Earth Engine, a cloud computing platform for spatial data, has unlocked
seamless integration for multi-sensor and multi-temporal analysis, which is useful for the …