[HTML][HTML] Detecting the long-term spatiotemporal crop phenology changes in a highly fragmented agricultural landscape
Trends in crop phenometrics reveal the influence of climate variability and change on crop
growth and development. However, the trends are less clear in fragmented tropical …
growth and development. However, the trends are less clear in fragmented tropical …
A robust and unified land surface phenology algorithm for diverse biomes and growth cycles in China by using harmonized landsat and sentinel-2 imagery
Land surface phenology (LSP) is beneficial to understand ecosystem response to climate
change, vegetation and crop type discrimination, and ecological modeling. However, the …
change, vegetation and crop type discrimination, and ecological modeling. However, the …
Map** corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Accurate and timely crop phenology is essential for efficient crop management and precise
modelling of crop yield and productivity. It has been commonly mapped from moderate or …
modelling of crop yield and productivity. It has been commonly mapped from moderate or …
Using Multi-Temporal Satellite Data to Analyse Phenological Responses of Rubber (Hevea brasiliensis) to Climatic Variations in South Sumatra, Indonesia
Land surface phenology derived from satellite data provides insights into vegetation
responses to climate change. This method has overcome laborious and time-consuming …
responses to climate change. This method has overcome laborious and time-consuming …
Evaluation of cotton defoliation rate and establishment of spray prescription map using remote sensing imagery
The site-specific management of cotton fields is necessary for evaluating the growth status of
cotton and generating a defoliation prescription map. The traditional assessment method of …
cotton and generating a defoliation prescription map. The traditional assessment method of …
Universal detection of curved rice panicles in complex environments using aerial images and improved YOLOv4 model
B Sun, W Zhou, S Zhu, S Huang, X Yu, Z Wu… - Frontiers in plant …, 2022 - frontiersin.org
Accurate and rapid identification of the effective number of panicles per unit area is crucial
for the assessment of rice yield. As part of agricultural development, manual observation of …
for the assessment of rice yield. As part of agricultural development, manual observation of …
Spatiotemporal Characteristics and Heterogeneity of Vegetation Phenology in the Yangtze River Delta
C Yang, K Deng, D Peng, L Jiang, M Zhao, J Liu, X Qiu - Remote Sensing, 2022 - mdpi.com
Vegetation phenology and its spatiotemporal driving factors are essential to reflect global
climate change, the surface carbon cycle and regional ecology, and further quantitative …
climate change, the surface carbon cycle and regional ecology, and further quantitative …
Corn Land Extraction Based on Integrating Optical and SAR Remote Sensing Images
H Meng, C Li, Y Liu, Y Gong, W He, M Zou - Land, 2023 - mdpi.com
Corn is an important food crop worldwide, and its yield is directly related to Chinese food
security. Accurate remote sensing extraction of corn can realize the rational application of …
security. Accurate remote sensing extraction of corn can realize the rational application of …
Map** impervious surface using phenology-integrated and fisher transformed linear spectral mixture analysis
The impervious surface area (ISA) is a key indicator of urbanization, which brings out
serious adverse environmental and ecological consequences. The ISA is often estimated …
serious adverse environmental and ecological consequences. The ISA is often estimated …