Comments on Machine learning and remote sensing techniques applied to estimate soil indicators – Review

Comments on Machine learning and remote sensing techniques applied to estimate soil indicators – Review

Bibliographic Details
Main Authors:	Ahmed Laamrani, Paul R. Voroney
Format:	Article
Language:	English
Published:	Elsevier 2023-02-01
Series:	Ecological Indicators
Online Access:	http://www.sciencedirect.com/science/article/pii/S1470160X22012997

Similar Items

Development of a Land Use Carbon Inventory for Agricultural Soils in the Canadian Province of Ontario
by: Ahmed Laamrani, et al.
Published: (2021-07-01)

Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data
by: Hamed Adab, et al.
Published: (2020-11-01)

An Extensive Field-Scale Dataset of Topsoil Organic Carbon Content Aimed to Assess Remote Sensed Datasets and Data-Derived Products from Modeling Approaches
by: Ahmed Laamrani, et al.
Published: (2022-11-01)

Remote Sensing and Machine Learning techniques for acreage estimation of mango (Mangifera indica)
by: ASHIS RANJAN UDGATA, et al.
Published: (2020-06-01)

Estimation of soil loss in Seremban, Malaysia using GIS and remote sensing technique
by: Ahmed Alsalhin, Goma Bedawi, et al.
Published: (2018)

Mercury Prediction in Urban Soils by Remote Sensing and Relief Data Using Machine Learning Techniques
by: Azamat Suleymanov, et al.
Published: (2023-06-01)

Multi-Sensors Remote Sensing Applications for Assessing, Monitoring, and Mapping NPK Content in Soil and Crops in African Agricultural Land
by: Khalil Misbah, et al.
Published: (2021-12-01)

Preliminary Results in Innovative Solutions for Soil Carbon Estimation: Integrating Remote Sensing, Machine Learning, and Proximal Sensing Spectroscopy
by: Tong Li, et al.
Published: (2023-11-01)

Monitoring and Analyzing Yield Gap in Africa through Soil Attribute Best Management Using Remote Sensing Approaches: A Review
by: Keltoum Khechba, et al.
Published: (2021-11-01)

Using a Mobile Device “App” and Proximal Remote Sensing Technologies to Assess Soil Cover Fractions on Agricultural Fields
by: Ahmed Laamrani, et al.
Published: (2018-02-01)

Air temperature estimation over winter wheat fields by integrating machine learning and remote sensing techniques
by: Chenyang Xu, et al.
Published: (2023-08-01)

Quantitative Estimation of Saline-Soil Amelioration Using Remote-Sensing Indices in Arid Land for Better Management
by: Hesham M. Aboelsoud, et al.
Published: (2022-07-01)

Characterizing Soil Stiffness Using Thermal Remote Sensing and Machine Learning
by: Jordan Ewing, et al.
Published: (2021-06-01)

Identification of soil type in Pakistan using remote sensing and machine learning
by: Yasin Ul Haq, et al.
Published: (2022-10-01)

Machine learning approach to estimate soil matric potential in the plant root zone based on remote sensing data
by: Rodrigo Filev Maia, et al.
Published: (2022-08-01)

Machine Learning Based Remote Sensing Technique for Analysis of The Glaciated Regions
by: Chandel Garima, et al.
Published: (2023-01-01)

Applied remote sensing /
by: 183819 Lo, C. P.
Published: (1986)

Early crop yield prediction for agricultural drought monitoring using drought indices, remote sensing, and machine learning techniques
by: Parthsarthi Pandya, et al.
Published: (2023-12-01)

Machine Learning Techniques Applied to Multiband Spectrum Sensing in Cognitive Radios
by: Yanqueleth Molina-Tenorio, et al.
Published: (2019-10-01)

Corn Biomass Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques
by: Liying Geng, et al.
Published: (2021-06-01)

Machine Learning Techniques for Fine Dead Fuel Load Estimation Using Multi-Source Remote Sensing Data
by: Marina D’Este, et al.
Published: (2021-04-01)

Temporal Change of Soil Carbon on a Long-Term Experimental Site with Variable Crop Rotations and Tillage Systems
by: Ahmed Laamrani, et al.
Published: (2020-06-01)

Applied cartography: introduction to remote sensing/
by: 365692 Rabenhorst, Thomas D., et al.
Published: (1989)

Estimation of Soil Moisture Using Multi-Source Remote Sensing and Machine Learning Algorithms in Farming Land of Northern China
by: Quanshan Liu, et al.
Published: (2023-08-01)

Estimating fractional cover of crop, crop residue, and soil in cropland using broadband remote sensing data and machine learning
by: Jibo Yue, et al.
Published: (2020-07-01)

Modeling the distribution of headwater streams using topoclimatic indices, remote sensing and machine learning.
by: Joshua L. Erickson, et al.
Published: (2023-12-01)

Machine learning in geosciences and remote sensing
by: David J. Lary, et al.
Published: (2016-01-01)

Remote Sensing-Based Yield Estimation of Winter Wheat Using Vegetation and Soil Indices in Jalilabad, Azerbaijan
by: Nilufar Karimli, et al.
Published: (2023-03-01)

Domain-Guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation
by: George Worrall, et al.
Published: (2021-11-01)

Estimation of Soil Arsenic Content with Hyperspectral Remote Sensing
by: Lifei Wei, et al.
Published: (2020-07-01)

Biomass estimation of rangelands in the Eastern Highlands by remote sensing indices
by: H. Mahyou
Published: (2022-03-01)

Identifying Nematode Damage on Soybean through Remote Sensing and Machine Learning Techniques
by: Letícia Bernabé Santos, et al.
Published: (2022-10-01)

Integration of GIS and Remote Sensing with RUSLE Model for Estimation of Soil Erosion
by: Amlan Ghosh, et al.
Published: (2022-12-01)

Estimation the blast wave pressure effecters by apply Remote Sensing (RS) and Geographic Information System (GIS) techniques
by: Fouad K. Mashee
Published: (2019-01-01)

Digital mapping of indicators that determine the sorption properties of soils in relation to pollutants, according to remote sensing data of the Earth using machine learning
by: Kamil G. Giniyatullin, et al.
Published: (2022-03-01)

Assessing the feasibility of applying remote sensing technique in calculating water consumption
by: Magda Mohamed, et al.
Published: (2023-07-01)

Estimation of Soil Salt Content at Different Depths Using UAV Multi-Spectral Remote Sensing Combined with Machine Learning Algorithms
by: Jiawei Cui, et al.
Published: (2023-11-01)

ESTIMATION OF RUNOFF FOR GOIZHA-DABASHAN WATERSHED WITH AID OF REMOTE SENSING TECHNIQUES
by: Ahmed A.M. Ali, et al.
Published: (2011-04-01)

A Deep Learning Approach to Estimate Soil Organic Carbon from Remote Sensing
by: Marko Pavlovic, et al.
Published: (2024-02-01)

Predicting and Mapping Soil Organic Carbon Using Remote Sensing and Machine Learning Algorithms
by: S. Bandak, et al.
Published: (2023-12-01)