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 …

Multispectral UAV data for detection of weeds in a citrus farm using machine learning and Google Earth Engine: Case study of Morocco

HS El Imanni, A El Harti, EM Bachaoui… - Remote Sensing …, 2023 - Elsevier
Accurate and timely weed mapping between and within trees is considered one of the major
challenges in the site-specific weed management systems. This research presents the first …

Using Time Series Sentinel Images for Object-Oriented Crop Extraction of Planting Structure in the Google Earth Engine

D Zhang, C Ying, L Wu, Z Meng, X Wang, Y Ma - Agronomy, 2023 - mdpi.com
Timely and accurate extraction of crop planting structure information is of great importance
for food security and sustainable agricultural development. However, long time series data …

Land cover and crop types mapping using different spatial resolution imagery in a Mediterranean irrigated area

S Acharki, PL Frison, BK Veettil, QB Pham… - Environmental …, 2023 - Springer
Crop type identification is critical for agricultural sustainability policy development and
environmental assessments. Therefore, it is important to obtain their spatial distribution via …

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 …

Precise vegetation restoration in arid regions based on potential natural vegetation and potential normalized difference vegetation index

J Qu, Q Liu, D Gui, X Feng, H Wang, J Zhao… - Restoration …, 2024 - Wiley Online Library
Precise vegetation restoration is critical in drylands, as some inappropriate restoration
attempts have even increased water scarcity and degradation in afforestation areas …

An analysis of the rice-cultivation dynamics in the lower Utcubamba river basin using SAR and optical imagery in Google Earth Engine (GEE)

AJ Medina Medina, R Salas López… - Agronomy, 2024 - mdpi.com
One of the world's major agricultural crops is rice (Oryza sativa), a staple food for more than
half of the global population. In this research, synthetic aperture radar (SAR) and optical …

Maize Crop Detection through Geo-Object-Oriented Analysis Using Orbital Multi-Sensors on the Google Earth Engine Platform

IC Maciel Junior, R Dallacort, CL Boechat, PE Teodoro… - AgriEngineering, 2024 - mdpi.com
Mato Grosso state is the biggest maize producer in Brazil, with the predominance of
cultivation concentrated in the second harvest. Due to the need to obtain more accurate and …

Evaluation of speckle filtering configurations on Sentinel-1 SAR backscatter analysis ready data (S1ARD) preparation framework on the google earth engine platform …

DA Novresiandi, A Setiyoko, N Indriasari… - Remote Sensing …, 2024 - Elsevier
Implementing the Sentinel-1 SAR backscatter analysis ready data (S1ARD) preparation
framework to Sentinel-1 C-band SAR data in the Google Earth Engine platform potentially …

Forest/Nonforest Segmentation Using Sentinel-1 and-2 Data Fusion in the Bajo Cauca Subregion in Colombia

A Guisao-Betancur, L Gómez Déniz… - Remote Sensing, 2023 - mdpi.com
Remote sensing technologies have been successfully used for deforestation monitoring,
and with the wide availability of satellite products from different platforms, forest monitoring …