Next Article in Journal
Considerations towards a Novel Approach for Integrating Angle-Count Sampling Data in Remote Sensing Based Forest Inventories
Next Article in Special Issue
Using Intra-Annual Landsat Time Series for Attributing Forest Disturbance Agents in Central Europe
Previous Article in Journal
Mixing It Up: The Role of Hybridization in Forest Management and Conservation under Climate Change
Previous Article in Special Issue
Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Forests 2017, 8(7), 238; https://doi.org/10.3390/f8070238

Assessment of Forest Degradation in Vietnam Using Landsat Time Series Data

1
Earth Resources Observation and Science Center, United States Geological Survey, Sioux Falls, SD 57198, USA
2
Vietnam National University of Forestry, Xuan Mai, Chuong My, Hanoi 100000, Vietnam
3
Department of Science, Technology and Environment, Ministry of Agriculture and Rural Development, No. 2 Ngoc Ha, Badinh, Hanoi 100000, Vietnam
4
Eastern Geographic Science Center, United States Geological Survey, Reston, VA 20192, USA
5
Inuteq, Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USA
6
Geospatial Science Center of Excellence, South Dakota State University, Brookings, SD 57006, USA
7
Department of Agriculture and Rural Development of Lam Dong Province, No. 36, Tran Phu, Ward 4, Dalat City 670000, Lam Dong Province, Vietnam
8
Bidoup Nui Ba National Park, No. 5E, Tran Hung Dao, Dalat City 670000, Lam Dong Province, Vietnam
*
Author to whom correspondence should be addressed.
Academic Editor: Sean Healey
Received: 18 April 2017 / Revised: 27 June 2017 / Accepted: 29 June 2017 / Published: 4 July 2017
(This article belongs to the Special Issue Remote Sensing of Forest Disturbance)
Full-Text   |   PDF [35762 KB, uploaded 4 July 2017]   |  

Abstract

Landsat time series data were used to characterize forest degradation in Lam Dong Province, Vietnam. We conducted three types of image change analyses using Landsat time series data to characterize the land cover changes. Our analyses concentrated on the timeframe of 1973–2014, with much emphasis on the latter part of that range. We conducted a field trip through Lam Dong Province to develop a better understanding of the ground conditions of the region, during which we obtained many photographs of representative forest sites with Global Positioning System locations to assist us in our image interpretations. High-resolution Google Earth imagery and Landsat data of the region were used to validate results. In general, our analyses indicated that many land-use changes have occurred throughout Lam Dong Province, including gradual forest to non-forest transitions. Recent changes are most marked along the relatively narrow interfaces between agricultural and forest areas that occur towards the boundaries of the province. One important observation is that the most highly protected national reserves in the region have not changed much over the entire Landsat timeframe (1972–present). Spectral changes within these regions have not occurred at the same levels as those areas adjacent to the reserves. View Full-Text
Keywords: forest degradation; land use change; Vietnam; Lam Dong Province; Landsat time series forest degradation; land use change; Vietnam; Lam Dong Province; Landsat time series
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Vogelmann, J.E.; Khoa, P.V.; Lan, D.X.; Shermeyer, J.; Shi, H.; Wimberly, M.C.; Duong, H.T.; Huong, L.V. Assessment of Forest Degradation in Vietnam Using Landsat Time Series Data. Forests 2017, 8, 238.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Forests EISSN 1999-4907 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top