Forest degradation with remote sensing: How spatial resolution plays a role

Diana Laura Jimenez, Hind Taud, Yan Gao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Forest degradation affects biodiversity and human society and contributes to greenhouse gas emissions. However, since there is no consensus about the definition of forest degradation, it is difficult to operate its characterization, evaluation and monitoring. Unlike deforestation, forest degradation does not imply a change in land cover and it happens in fine scales and is difficult to detect by means of remote sensors. Images from MODIS, Landsat, Sentinel-2, and UAVs form the main source of data for the national forest cover monitoring. The assumption here is that satellite images of different spatial and temporal resolutions as input may affect the measurement of forest degradation. The main objective is to study the influence of the spatial and temporal resolution of remote sensing images on forest degradation patterns detected. Data of multi-temporal MODIS, Landsat-8, and Sentinel-2 for an area of Michoacán, Mexico were collected. Forests were classified into primary and secondary status based on the existing land cover maps and visual interpretation of the images. The obtained land cover maps with forests at different stage of degradation were compared to derive information of forest degradation and regeneration.

Original languageEnglish
Title of host publication5th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2018 - Proceedings
EditorsQihao Weng, Paolo Gamba, Ni-Bin Chang, Guangxing Wang, Wanqiang Yao
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538666425
DOIs
StatePublished - 31 Dec 2018
Event5th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2018 - Xi'an, China
Duration: 18 Jun 201820 Jun 2018

Publication series

Name5th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2018 - Proceedings

Conference

Conference5th International Workshop on Earth Observation and Remote Sensing Applications, EORSA 2018
CountryChina
CityXi'an
Period18/06/1820/06/18

Keywords

  • Forest degradation
  • LANDSAT-8
  • MODIS
  • regeneration
  • Sentinel-2

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