Crop mapping using supervised machine learning and deep learning: a systematic literature review

M Alami Machichi, E mansouri, Y Imani… - … Journal of Remote …, 2023 - Taylor & Francis
The ever-increasing global population presents a looming threat to food production. To meet
growing food demands while minimizing negative impacts on water and soil, agricultural …

Estimating and Mapping Soil Salinity in Multiple Vegetation Cover Periods by Using Unmanned Aerial Vehicle Remote Sensing

X Cui, W Han, Y Dong, X Zhai, W Ma, L Zhang… - Remote Sensing, 2023 - mdpi.com
Soil salinization is a severe soil degradation issue in arid and semiarid regions. The
distribution of soil salinization can prove useful in mitigating soil degradation. Remote …

[HTML][HTML] Mapping rangeland health indicators in eastern Africa from 2000 to 2022

GE Soto, SW Wilcox, PE Clark, FP Fava… - Earth System …, 2024 - essd.copernicus.org
Tracking environmental change is important to ensure efficient and sustainable natural
resources management. Eastern Africa is dominated by arid and semi-arid rangeland …

Multi-year mapping of cropping systems in regions with smallholder farms from Sentinel-2 images in Google Earth engine

H Qi, X Qian, S Shang, H Wan - GIScience & Remote Sensing, 2024 - Taylor & Francis
Accurate acquisition of spatial and temporal distribution information for cropping systems is
important for agricultural production and food security. The challenges of extracting …

Estimating Maize Yield from 2001 to 2019 in the North China Plain Using a Satellite-Based Method

C Hai, L Wang, X Chen, X Gui, X Wu, J Sun - Remote Sensing, 2023 - mdpi.com
Maize is one of the main food crops and is widely planted in China; however, it is difficult to
get timely and precise information on yields. Because of the benefits of remote sensing …

Early Crop Identification Study Based on Sentinel-1/2 Images with Feature Optimization Strategy

J Luo, M Xie, Q Wu, J Luo, Q Gao, X Shao, Y Zhang - Agriculture, 2024 - mdpi.com
The timely and accurate mapping of crop types is crucial for agricultural insurance, futures,
and assessments of food security risks. However, crop mapping is currently focused on the …

Multi-source remote sensing imagery collaboration method based on super-resolution reconstruction

G Li, W Han, J Wei, M Shang, D Xiong… - … Journal of Remote …, 2024 - Taylor & Francis
Suitable remote sensing images are crucial for the accurate monitoring of land surface
information. Multi-source remote sensing image collaboration is a viable method for …

Enhancing Crop Mapping Precision through Multi-Temporal Sentinel-2 Image and Spatial-Temporal Neural Networks in Northern Slopes of Tianshan Mountain

X Zhang, Y Guo, X Tian, Y Bai - Agronomy, 2023 - mdpi.com
Northern Slopes of Tianshan Mountain (NSTM) in Xinjiang hold significance as a principal
agricultural hub within the region's arid zone. Accurate crop mapping across vast agricultural …

Improving Mapping Accuracy of Smallholder Potato Planting Areas by Embedding Prior Knowledge into a Novel Multi-temporal Deep Learning Network

S Yang, Q Feng, X Gao, W Yang, G Wang - Potato Research, 2024 - Springer
Accurate and timely acquisition of potato spatial distribution is crucial for growth monitoring
and yield forecasting. Currently, prior knowledge-based methods are very simple and …

Investigating the Use of Street-Level Imagery and Deep Learning to Produce In-Situ Crop Type Information

F Orduna-Cabrera, M Sandoval-Gastelum, I McCallum… - Geographies, 2023 - mdpi.com
The creation of crop type maps from satellite data has proven challenging and is often
impeded by a lack of accurate in situ data. Street-level imagery represents a new potential …