Finding a suitable sensing time period for crop identification using heuristic techniques with multi-temporal satellite images-Reference-Cited by-同舟云学术

Finding a suitable sensing time period for crop identification using heuristic techniques with multi-temporal satellite images

Published:2021-09-21 Issue: Volume: Page:1-18
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Fernández-Sellers Marcos¹^ORCID,Siesto Guillermo¹^ORCID,Lozano-Tello Adolfo¹^ORCID,Clemente Pedro J.¹^ORCID

Affiliation:

1. Computer Science Department, Quercus Software Engineering Group, Universidad De Extremadura, Escuela Politécnica De Cáceres, Avda De La Universidad Sn. 10073. Cáceres, Spain

Funder

Junta de Extremadura, Consejería de Economía e Infraestructuras under grant IB18053 and by the European Regional Development Fund

FEDER inter-administrative collaboration agreement 330/18 between the Junta de Extremadura, Consejería de Medio Ambiente y Rural, Políticas Agrarias y Territorio and Universidad de Extremadura

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1975846

Reference29 articles.

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2. Contribution of multispectral and multitemporal information from MODIS images to land cover classification

3. Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data

4. Estimating tree canopy cover percentage in a mediterranean silvopastoral systems using Sentinel-2A imagery and the stochastic gradient boosting algorithm

5. Replacing human interpretation of agricultural land in Afghanistan with a deep convolutional neural network

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