High-resolution satellite imagery applications in crop phenotyping: An overview

C Zhang, A Marzougui, S Sankaran - Computers and Electronics in …, 2020 - Elsevier
Over the past ten years, plant phenotyping technologies that utilize sensing and data mining
approaches to estimate crop traits in a high-throughput and objective manner, have been …

Cropping patterns of annual crops: A remote sensing review

M Mahlayeye, R Darvishzadeh, A Nelson - Remote Sensing, 2022 - mdpi.com
Cropping patterns are defined as the sequence and spatial arrangement of annual crops on
a piece of land. Knowledge of cropping patterns is crucial for crop production and land-use …

A unified vegetation index for quantifying the terrestrial biosphere

G Camps-Valls, M Campos-Taberner… - Science …, 2021 - science.org
Empirical vegetation indices derived from spectral reflectance data are widely used in
remote sensing of the biosphere, as they represent robust proxies for canopy structure, leaf …

Mapping of cropland, cropping patterns and crop types by combining optical remote sensing images with decision tree classifier and random forest

A Tariq, J Yan, AS Gagnon, M Riaz Khan… - Geo-Spatial …, 2023 - Taylor & Francis
Mapping and monitoring the distribution of croplands and crop types support policymakers
and international organizations by reducing the risks to food security, notably from climate …

Modelling, mapping and monitoring of forest cover changes, using support vector machine, kernel logistic regression and naive bayes tree models with optical remote …

A Tariq, Y Jiango, Q Li, J Gao, L Lu, W Soufan… - Heliyon, 2023 - cell.com
The present study is designed to monitor the spatio-temporal changes in forest cover using
Remote Sensing (RS) and Geographic Information system (GIS) techniques from 1990 to …

Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine …

AJ Oliphant, PS Thenkabail, P Teluguntla… - International Journal of …, 2019 - Elsevier
Cropland extent maps are useful components for assessing food security. Ideally, such
products are a useful addition to countrywide agricultural statistics since they are not …

Spatial-temporal characteristics and policy implication for non-grain production of cultivated land in Guanzhong Region

D Zhang, W Yang, D Kang, H Zhang - Land Use Policy, 2023 - Elsevier
Non-grain production of cultivated land (NGPOCL), as a severe threat to food security, has
attracted great attention in China and other countries of the world. Although some scholars …

Mapping sugarcane plantation dynamics in Guangxi, China, by time series Sentinel-1, Sentinel-2 and Landsat images

J Wang, X Xiao, L Liu, X Wu, Y Qin, JL Steiner… - Remote sensing of …, 2020 - Elsevier
Sugarcane is a major crop for sugar and ethanol production and its area has increased
substantially in tropical and subtropical regions in recent decades. Updated and accurate …

Cotton classification method at the county scale based on multi-features and random forest feature selection algorithm and classifier

H Fei, Z Fan, C Wang, N Zhang, T Wang, R Chen… - Remote Sensing, 2022 - mdpi.com
Accurate cotton maps are crucial for monitoring cotton growth and precision management.
The paper proposed a county-scale cotton mapping method by using random forest (RF) …

Evaluating the efficiency of coarser to finer resolution multispectral satellites in mapping paddy rice fields using GEE implementation

M Waleed, M Mubeen, A Ahmad… - Scientific Reports, 2022 - nature.com
Timely and accurate estimation of rice-growing areas and forecasting of production can
provide crucial information for governments, planners, and decision-makers in formulating …