Regional-scale cotton yield forecast via data-driven spatio-temporal prediction (STP) of solar-induced chlorophyll fluorescence (SIF)

X Kang, C Huang, L Zhang, H Wang, Z Zhang… - Remote Sensing of …, 2023 - Elsevier
Solar-induced chlorophyll fluorescence (SIF), as a direct probe of vegetation photosynthesis,
has recently been an effective indicator for crop yield estimation in late-season. Spatio …

Time-Series-Based Spatiotemporal Fusion Network for Improving Crop Type Mapping

W Zhan, F Luo, H Luo, J Li, Y Wu, Z Yin, Y Wu, P Wu - Remote Sensing, 2024 - mdpi.com
Crop mapping is vital in ensuring food production security and informing governmental
decision-making. The satellite-normalized difference vegetation index (NDVI) obtained …

Integrating sentinel-1/2 data and machine learning to map cotton fields in Northern Xinjiang, China

T Hu, Y Hu, J Dong, S Qiu, J Peng - Remote Sensing, 2021 - mdpi.com
Timely and accurate information of cotton planting areas is essential for monitoring and
managing cotton fields. However, there is no large-scale and high-resolution method …

Assessing the potential of using high spatial resolution daily NDVI-time-series from planet CubeSat images for crop monitoring

L Guilherme Teixeira Crusiol, L Sun… - … Journal of Remote …, 2021 - Taylor & Francis
The agricultural land use combined with agronomic management practices shall be
structured on sustainable practices, guaranteeing both the maximization of productivity and …

[HTML][HTML] Satellite-based observations of the green depressing cropping system in a farming-pastoral ecotone of northern China

X Chen, P An, K Laakso, GA Sanchez-Azofeifa… - International Journal of …, 2021 - Elsevier
The green depressing cropping system (GDCS) has existed in the farming-pastoral ecotone
of northern China (FPENC) for hundreds of years. This ancient practice aims to promote an …

Cotton cultivated area detection and yield monitoring combining remote sensing with field data in lower Indus River basin, Pakistan

M Naveed, HS He, S Zong, H Du, Z Satti, H Sun… - Environmental …, 2023 - Springer
As the Earth's population continuously increase with the passage of time, the demand for
agricultural raw material for human need increases. It is critical to maintaining updated and …

[PDF][PDF] Sentinel-2 MSI data for active fire detection in major fire-prone biomes: A multi-criteria approach

X Hu, Y Ban, A Nascetti - International Journal of Applied Earth …, 2021 - lirias.kuleuven.be
ABSTRACT Sentinel-2 MultiSpectral Instrument (MSI) data exhibits the great potential of
enhanced spatial and temporal coverage for monitoring biomass burning which could …

A Remotely Sensed Based Comparison of Three Area Stratification Methods to Improve Estimation of Crop Area Statistics, A Case Study in Fragmented Landscapes …

S Bamud - 2022 - essay.utwente.nl
Agricultural statistics, particularly crop production data, are crucial for food security analysis.
Crop production is a product of crop area and yield. Thus, accurate and reliable crop area …