How accurate are existing land cover maps for agriculture in Sub-Saharan Africa?

H Kerner, C Nakalembe, A Yang, I Zvonkov… - Scientific Data, 2024 - nature.com
Satellite Earth observations (EO) can provide affordable and timely information for assessing
crop conditions and food production. Such monitoring systems are essential in Africa, where …

Uncertainty quantification for probabilistic machine learning in earth observation using conformal prediction

G Singh, G Moncrieff, Z Venter, K Cawse-Nicholson… - Scientific Reports, 2024 - nature.com
Abstract Machine learning is increasingly applied to Earth Observation (EO) data to obtain
datasets that contribute towards international accords. However, these datasets contain …

[HTML][HTML] Large-area mapping of active cropland and short-term fallows in smallholder landscapes using PlanetScope data

P Rufin, A Bey, M Picoli, P Meyfroidt - International Journal of Applied Earth …, 2022 - Elsevier
Cropland mapping in smallholder landscapes is challenged by complex and fragmented
landscapes, labor-intensive and unmechanized land management causing high within-field …

Validation and refinement of cropland map in southwestern China by harnessing ten contemporary datasets

Y Cui, J Dong, C Zhang, J Yang, N Chen, P Guo, Y Di… - Scientific Data, 2024 - nature.com
Accurate cropland map serves as the cornerstone of effective agricultural monitoring.
Despite the continuous enrichment of remotely sensed cropland maps, pervasive …

[HTML][HTML] National high-resolution cropland classification of Japan with agricultural census information and multi-temporal multi-modality datasets

J Xia, N Yokoya, B Adriano, K Kanemoto - International Journal of Applied …, 2023 - Elsevier
Multi-modality datasets offer advantages for processing frameworks with complementary
information, particularly for large-scale cropland mapping. Extensive training datasets are …

A framework for separating natural and anthropogenic contributions to evapotranspiration of human-managed land covers in watersheds based on machine learning

H Zeng, A Elnashar, B Wu, M Zhang, W Zhu… - Science of the Total …, 2022 - Elsevier
Actual EvapoTranspiration (ET) represents the water consumption in watersheds;
distinguishing between natural and anthropogenic contributions to ET is essential for water …

[HTML][HTML] Decoding the inconsistency of six cropland maps in China

Y Cui, R Liu, Z Li, C Zhang, XP Song, J Yang, L Yu… - The Crop Journal, 2024 - Elsevier
Accurate cropland information is critical for agricultural planning and production, especially
in food-stressed countries like China. Although widely used medium-to-high-resolution …

Fusing multiple land cover products based on locally estimated map-reference cover type transition probabilities

W Zhang, J Wang, H Lin, M Cong, Y Wan, J Zhang - Remote Sensing, 2023 - mdpi.com
There are a variety of land cover products generated from remote-sensing images. However,
misclassification errors in individual products and inconsistency among them undermine …

Study of agricultural land use variability in Doukkala irrigated area between 1998 and 2020

M Bounif, A Bouasria, A Rahimi… - 2021 Third International …, 2021 - ieeexplore.ieee.org
Agricultural intensification is a production logic that depends on several factors. These
factors are diverse and can be economic, technical and agro-ecological. It is a strategy …

Optimizing crop monitoring: mapping cultivation stages and types with sentinel-1/2 and random forest algorithm

M Nabil, E Farg, NM Afify, SM Arafat - International Journal of …, 2024 - Taylor & Francis
Crop-type mapping is essential for agricultural monitoring, improving crop yield models, and
supporting sustainable land management. Studying crop phenology, which includes the …