Using of Sentinel-2 images for automation of the forest succession detection-Reference-Cited by-同舟云学术

Using of Sentinel-2 images for automation of the forest succession detection

Published:2017-12-19 Issue:1 Volume:51 Page:142-149
ISSN:2279-7254
Container-title:European Journal of Remote Sensing
language:en
Short-container-title:European Journal of Remote Sensing

Author:

Szostak Marta¹^ORCID,Hawryło Paweł¹^ORCID,Piela Dobrosława¹

Affiliation:

1. Department of Forest Management, Geomatics and Forest Economics, Institute of Forest Resources Management, Faculty of Forestry, University of Agriculture in Krakow, Krakow, Poland

Funder

This Research was financed by the Ministry of Science and Higher Education of The Republic of Poland

Publisher

Informa UK Limited

Subject

Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science

Link

https://tandfonline.com/doi/pdf/10.1080/22797254.2017.1412272

Reference35 articles.

1. Mapping abandoned agriculture with multi-temporal MODIS satellite data

2. Mapping wetlands and riparian areas using Landsat ETM+ imagery and decision-tree-based models

3. Observing succession on aspen-dominated landscapes using a remote sensing-ecosystem approach

4. Building a Data Set over 12 Globally Distributed Sites to Support the Development of Agriculture Monitoring Applications with Sentinel-2

5. Integrating LIDAR data and multispectral imagery for enhanced classification of rangeland vegetation: A meta analysis

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