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 …
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 …
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 …
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 …
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 …
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
Precise vegetation restoration is critical in drylands, as some inappropriate restoration
attempts have even increased water scarcity and degradation in afforestation areas …
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 …
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
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 …
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 …
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 …
and with the wide availability of satellite products from different platforms, forest monitoring …