A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images-Reference-Cited by-同舟云学术

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A Bayesian model to estimate land surface phenology parameters with harmonized Landsat 8 and Sentinel-2 images

Published:2021-08 Issue: Volume:261 Page:112471
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Babcock Chad,Finley Andrew O.,Looker Nathaniel

Funder

National Science Foundation Division of Mathematical Sciences

NASA

National Science Foundation Division of Emerging Frontiers

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference39 articles.

1. Terrestrial Ecosystems;Aber,2001

2. Monitoring spring canopy phenology of a deciduous broadleaf forest using MODIS;Ahl;Remote Sens. Environ.,2006

3. An exploration of terrain effects on land surface phenology across the Qinghai–Tibet plateau using Landsat ETM+ and OLI data;An;Remote Sens.,2018

4. Private Communication;Beard,2020

5. Improved monitoring of vegetation dynamics at very high latitudes: a new method using modis ndvi;Beck;Remote Sens. Environ.,2006

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