Monitoring forest disturbance using time-series MODIS NDVI in Michoacán, Mexico-Reference-Cited by-同舟云学术

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Monitoring forest disturbance using time-series MODIS NDVI in Michoacán, Mexico

Published:2019-09-09 Issue:15 Volume:36 Page:1768-1784
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Gao Yan¹^ORCID,Quevedo Alexander¹,Szantoi Zoltan²³^ORCID,Skutsch Margaret¹^ORCID

Affiliation:

1. Centro de Investigaciones en Geografía Ambiental, Universidad Nacional Autónoma de México, Morelia, México

2. Directorate D-Sustainable Resources, European Commission, Joint Research Centre (JRC), Ispra, Italy

3. Department of Geography and Environmental Studies, Stellenbosch University, Matieland, South Africa

Funder

Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica

PAPIIT

Consejo Nacional de Ciencia y Tecnologia

CONACyT

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Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2019.1661032

Reference66 articles.

1. Continuous monitoring of land change activities and post-disturbance dynamics from Landsat time series: A test methodology for REDD+ reporting

2. Selective Logging in the Brazilian Amazon

3. Tropical forest carbon assessment: integrating satellite and airborne mapping approaches

4. Forest Monitoring Using Landsat Time Series Data: A Review

Cited by 14 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. Effectiveness of Billion Trees Tsunami Afforestation Projects in restoration of forests in Pakistan;Environment, Development and Sustainability;2024-04-06

2. Monitoring Annual Forest Cover Fraction Change During 2000-2020 in China's Han River Basin Using Time-Series MODIS NDVI, VCF and Spatio-Temporal Regression;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. Evaluating the environmental performance of mezcal production in Michoacán, México: A life cycle assessment approach;The International Journal of Life Cycle Assessment;2023-10-07

4. Seasonal Vegetation Trends for Europe over 30 Years from a Novel Normalised Difference Vegetation Index (NDVI) Time-Series—The TIMELINE NDVI Product;Remote Sensing;2023-07-20

5. Automatic forest change detection through a bi-annual time series of satellite imagery: Toward production of an integrated land cover map;International Journal of Applied Earth Observation and Geoinformation;2023-04

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