Extracting the full value of the Landsat archive: Inter-sensor harmonization for the mapping of Minnesota forest canopy cover (1973–2015)-Reference-Cited by-同舟云学术

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Extracting the full value of the Landsat archive: Inter-sensor harmonization for the mapping of Minnesota forest canopy cover (1973–2015)

Published:2018-05 Issue: Volume:209 Page:363-374
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Vogeler Jody C.,Braaten Justin D.,Slesak Robert A.,Falkowski Michael J.

Funder

Environment and Natural Resources Trust Fund

Minnesota Department of Natural Resources

Minnesota Forest Resources Council

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference70 articles.

1. Characterizing stand-level forest canopy cover and height using Landsat time series, samples of airborne LiDAR, and the random forest algorithm;Ahmed;ISPRS J. Photogramm. Remote Sens.,2015

2. Automated cloud and cloud shadow identification in Landsat MSS imagery for temperate ecosystems;Braaten;Remote Sens. Environ.,2015

3. LandsatLinkr;Braaten,2017

4. Random forests;Breiman;Mach. Learn.,2001

5. On-the-fly massively multi-temporal change detection using statistical quality control charts and Landsat data;Brooks;IEEE Trans. Geosci. Remote Sens.,2014

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