Comparison of machine learning regression algorithms for cotton leaf area index retrieval using Sentinel-2 spectral bands

H Mao, J Meng, F Ji, Q Zhang, H Fang - Applied Sciences, 2019 - mdpi.com
Leaf area index (LAI) is a crucial crop biophysical parameter that has been widely used in a
variety of fields. Five state-of-the-art machine learning regression algorithms (MLRAs) …

Crop yield estimation at field scales by assimilating time series of Sentinel-2 data into a modified CASA-WOFOST coupled model

F Ji, J Meng, Z Cheng, H Fang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Rapidly and accurately estimating yields at field scales are very significant. Each type of
currently yield estimation model has been well studied, yet all of them have certain …

Field-scale assessment of Belgian winter cover crops biomass based on Sentinel-2 data

D Goffart, Y Curnel, V Planchon, JP Goffart… - European Journal of …, 2021 - Elsevier
Winter cover crops, used as green manure, can supply up to 45 units of nitrogen per hectare
to the following summer crops. In order to contribute to the establishment of the nitrogen …

Estimating Winter Cover Crop Biomass in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning

H do Nascimento Bendini, R Fieuzal, P Carrere… - Remote Sensing, 2024 - mdpi.com
Cover crops play a pivotal role in mitigating climate change by bolstering carbon
sequestration through biomass production and soil integration. However, current methods …

Comparative analysis of multi-source data for machine learning-based LAI estimation in Argania spinosa

M Mouafik, M Fouad, FA Audet, A El Aboudi - Advances in Space Research, 2024 - Elsevier
In this study, we conducted a comprehensive assessment of Leaf Area Index (LAI)
estimation using three distinct sources of satellite data: Sentinel-2 imagery, drone imagery …

In-season potato crop nitrogen status assessment from satellite and meteorological data

D Goffart, FB Abdallah, Y Curnel, V Planchon… - Potato Research, 2022 - Springer
For a conventional potato crop, splitting nitrogen (N) application is recognised as an efficient
strategy to improve tuber yield and quality and to mitigate N losses to the environment. This …

[PDF][PDF] Monitoring vegetation phenology in the Braila Plain using Sentinel 2 data.

V Poenaru, A Badea… - … . Series E. Land …, 2017 - landreclamationjournal.usamv.ro
The continuous crop condition monitoring at a regional scale is critical especially for private
investors which should apply land reclamations measures regarding the soil degradation …

Spatially Explicit Abundance Modeling of a Highly Specialized Wetland Bird Using Sentinel-1 and Sentinel-2 Modélisation spatialement explicite de l'abondance d'un …

LJT McLeod, ER DeLancey… - Canadian Journal of …, 2022 - Taylor & Francis
Le Râle jaune (Coturnicops noveboracensis) est un oiseau aquatique spécifique aux zones
humides. C'est une espèce en péril au Canada et on sait très peu de choses sur son …

로지스틱회귀분석을이용한북한지역자연환경우수지역평가지도작성

김근한, 이은정, 정휘철, 전철민 - 한국지도학회지, 2016 - dbpia.co.kr
향후 통일이후 북한지역의 급격한 국토개발로 인한 자연 환경 훼손을 미연에 방지하고
한반도의 균형 있는 국토의 보전과 관리를 위해서는 환경계획 기반의 국토계획이 필수적이다 …

[PDF][PDF] Optimum band selection in sentinel-2A satellite for crop classification using machine learning technique

PP Jadhav, VB Deshmukh - Int Res J Eng Technol, 2019 - academia.edu
Mapping and identification of crops are vital for agricultural field management furthermore as
for estimating potential harvest. Having the similar spectral properties with different yields in …