Monitoring Forest Loss and Degradation at National to Global Scales Using Landsat Data

Author(s):  
Peter Potapov ◽  
Svetlana Turubanova ◽  
Matthew C. Hansen ◽  
Ilona Zhuravleva ◽  
Alexey Yaroshenko ◽  
...  
Keyword(s):  
Author(s):  
S. Turubanova ◽  
P. Potapov ◽  
A. Krylov ◽  
A. Tyukavina ◽  
J. L. McCarty ◽  
...  

Dramatic political and economic changes in Eastern European countries following the dissolution of the “Eastern Bloc” and the collapse of the Soviet Union greatly affected land-cover and land-use trends. In particular, changes in forest cover dynamics may be attributed to the collapse of the planned economy, agricultural land abandonment, economy liberalization, and market conditions. However, changes in forest cover are hard to quantify given inconsistent forest statistics collected by different countries over the last 30 years. The objective of our research was to consistently quantify forest cover change across Eastern Europe from 1985 until 2012 using the complete Landsat data archive. We developed an algorithm for processing imagery from different Landsat platforms and sensors (TM and ETM+), aggregating these images into a common set of multi-temporal metrics, and mapping annual gross forest cover loss and decadal gross forest cover gain. Our results show that forest cover area increased from 1985 to 2012 by 4.7% across the region. Average annual gross forest cover loss was 0.41% of total forest cover area, with a statistically significant increase from 1985 to 2012. Most forest disturbance recovered fast, with only 12% of the areas of forest loss prior to 1995 not being recovered by 2012. Timber harvesting was the main cause of forest loss. Logging area declined after the collapse of socialism in the late 1980s, increased in the early 2000s, and decreased in most countries after 2007 due to the global economic crisis. By 2012, Central and Baltic Eastern European countries showed higher logging rates compared to their Western neighbours. Comparing our results with official forest cover and change estimates showed agreement in total forest area for year 2010, but with substantial disagreement between Landsat-based and official net forest cover area change. Landsat-based logging areas exhibit strong relationship with reported roundwood production at national scale. Our results allow national and sub-national level analysis of forest cover extent, change, and logging intensity and are available on-line as a baseline for further analyses of forest dynamics and its drivers.


2018 ◽  
Author(s):  
Stephen Danyo ◽  
Susmita Dasgupta ◽  
David Wheeler
Keyword(s):  
Lao Pdr ◽  

1980 ◽  
Vol 72 (5) ◽  
pp. 793-796
Author(s):  
J. E. Cipra ◽  
N. E. Noguerapena ◽  
M. C. Bryson ◽  
M. A. Lueking

2021 ◽  
Vol 127 ◽  
pp. 107773
Author(s):  
Renato T. Martins ◽  
Janaina Brito ◽  
Karina Dias-Silva ◽  
Cecília G. Leal ◽  
Rafael P. Leitão ◽  
...  

2021 ◽  
Vol 313 ◽  
pp. 107380
Author(s):  
Ilana Araújo-Santos ◽  
José Carlos Morante-Filho ◽  
Sérgio Oliveira ◽  
Júlia Perez Cabral ◽  
Larissa Rocha-Santos ◽  
...  

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 267
Author(s):  
Ana C. Rorato ◽  
Michelle C. A. Picoli ◽  
Judith A. Verstegen ◽  
Gilberto Camara ◽  
Francisco Gilney Silva Bezerra ◽  
...  

This study investigates the main threats related to environmental degradation that affect Amazonian Indigenous Lands (ILs). Through a cluster analysis, we group ILs according to the set of common environmental threats that occur within and outside their limits. The results show that most of the 383 ILs are affected internally by a combination of different environmental threats, namely: deforestation, forest degradation, fires, mining, croplands, pastures, and roads. However, the ILs affected by multiple and relatively severe threats are mainly located in the arc of deforestation and the Roraima state. The threats related to forest loss (deforestation, forest degradation, and fires) are more intense in the ILs’ buffer zones than within, showing that ILs effectively promote environmental preservation. In the cluster analysis, we identified seven clusters that are characterized by common environmental threats within and around their limits, and, based on these results, we have outlined four environmental policy priorities to be strengthened and applied in Amazonian ILs: protecting ILs’ buffer zones; strengthening surveillance actions, and combating illegal deforestation, forest degradation, and mining activities in ILs; preventing and fighting fires; and removing invaders from all ILs in the Amazon. In this study, we warn that the threats presented make the Indigenous peoples in the Amazon more vulnerable. To guarantee indigenous peoples’ rights, illegal actions in these territories and their surroundings must be contained, and quickly.


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