Integration of radar and optical sentinel images for land use mapping in a complex landscape (case study: Arasbaran Protected Area)-Reference-Cited by-同舟云学术

Integration of radar and optical sentinel images for land use mapping in a complex landscape (case study: Arasbaran Protected Area)

Published:2022-12 Issue:24 Volume:15 Page:
ISSN:1866-7511
Container-title:Arabian Journal of Geosciences
language:en
Short-container-title:Arab J Geosci

Author:

Nasiri Vahid^ORCID,Le Bris Arnaud,Darvishsefat Ali Asghar^ORCID,Moradi Fardin

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://link.springer.com/content/pdf/10.1007/s12517-022-11035-z.pdf

Reference77 articles.

1. Abdei R (2020) Comparison of parametric and non-parametric techniques to accurate classification of forest attributes on satellite image data. J Environ Sci Stud 5(4):3229–3235

2. Abdi AM (2020) Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data. Gisci Remote Sens 27(1):1548–1603. https://doi.org/10.1080/15481603.2019.1650447

3. Abdikan S, Sanli FB, Ustuner M, Calo F (2016) Land cover mapping using Sentinel-1 SAR data. Int Arch Photogramm Remote Sens Spatial Inf Sci XLI-B7:757–761. https://doi.org/10.5194/isprs-archives-XLI-B7-757-2016

4. Afira N, Wijayanto AW (2022) Mono-temporal and multi-temporal approaches for burnt area detection using Sentinel-2 satellite imagery (a case study of Rokan Hilir Regency, Indonesia). Ecol Info 69:101677. https://doi.org/10.1016/j.ecoinf.2022.101677

5. Bayle A, Carlson BZ, Thierion V, Isenmann M, Choler P (2019) Improved mapping of mountain shrub lands using the Sentinel-2 Red-Edge band. Remote Sens 11(23):2807. https://doi.org/10.3390/rs11232807

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. REDD implementation for greenhouse gas reduction and climate change mitigation in Hyrcanian forests: a case study of the Kojoor Watershed, Northern Iran;Environmental Monitoring and Assessment;2024-04-25

2. Comparing Object-Based and Pixel-Based Machine Learning Models for Tree-Cutting Detection with PlanetScope Satellite Images: Exploring Model Generalization;International Journal of Applied Earth Observation and Geoinformation;2023-12

3. Impact of Iran’s Forest Nationalization Law on Forest Cover Changes over Six Decades: A Case Study of a Zagros Sparse Coppice Oak Forest;Sensors;2023-01-12