Automatic Updating of an Object-Based Tropical Forest Cover Classification and Change Assessment

Author(s):  
Rastislav Rasi ◽  
René Beuchle ◽  
Catherine Bodart ◽  
Michael Vollmar ◽  
Roman Seliger ◽  
...  
2005 ◽  
Vol 360 (1454) ◽  
pp. 373-384 ◽  
Author(s):  
Philippe Mayaux ◽  
Peter Holmgren ◽  
Frédéric Achard ◽  
Hugh Eva ◽  
Hans-Jürgen Stibig ◽  
...  

Despite the importance of the world's humid tropical forests, our knowledge concerning their rates of change remains limited. Two recent programmes (FAO 2000 Forest Resources Assessment and TREES II), exploiting the global imaging capabilities of Earth observing satellites, have recently been completed to provide information on the dynamics of tropical forest cover. The results from these independent studies show a high degree of conformity and provide a good understanding of trends at the pan-tropical level. In 1990 there were some 1150 million ha of tropical rain forest with the area of the humid tropics deforested annually estimated at 5.8 million ha (approximately twice the size of Belgium). A further 2.3 million ha of humid forest is apparently degraded annually through fragmentation, logging and/or fires. In the sub-humid and dry tropics, annual deforestation of tropical moist deciduous and tropical dry forests comes to 2.2 and 0.7 million ha, respectively. Southeast Asia is the region where forests are under the highest pressure with an annual change rate of −0.8 to −0.9%. The annual area deforested in Latin America is large, but the relative rate (−0.4 to −0.5%) is lower, owing to the vast area covered by the remaining Amazonian forests. The humid forests of Africa are being converted at a similar rate to those of Latin America (−0.4 to −0.5% per year). During this period, secondary forests have also been established, through re-growth on abandoned land and forest plantations, but with different ecological, biophysical and economic characteristics compared with primary forests. These trends are significant in all regions, but the extent of new forest cover has proven difficult to establish. These results, as well as the lack of more detailed knowledge, clearly demonstrate the need to improve sound scientific evidence to support policy. The two projects provide useful guidance for future monitoring efforts in the context of multilateral environmental agreements and of international aid, trade and development partnerships. Methodologically, the use of high-resolution remote sensing in representative samples has been shown to be cost-effective. Close collaboration between tropical institutions and inter-governmental organizations proved to be a fruitful arrangement in the different projects. To properly assist decision-making, monitoring and assessments should primarily be addressed at the national level, which also corresponds to the ratification level of the multilateral environmental agreements. The Forest Resources Assessment 2000 deforestation statistics from countries are consistent with the satellite-based estimates in Asia and America, but are significantly different in Africa, highlighting the particular need for long-term capacity-building activities in this continent.


2018 ◽  
Vol 12 (3) ◽  
pp. 231-240 ◽  
Author(s):  
Marciel Elio Rodrigues ◽  
Fabio De Oliveira Roque ◽  
Rhainer Guillermo‐Ferreira ◽  
Victor S. Saito ◽  
Michael J. Samways

2020 ◽  
Author(s):  
christelle vancutsem ◽  
Fréderic Achard ◽  
Jean-Francois Pekel ◽  
Ghislain Vieilledent ◽  
Silvia Carboni ◽  
...  

<p>Tropical moist forest (TMF) provide essential ecosystem services<sub>1,2</sub>. Fine-scale mapping and characterization of their disturbances are needed to support global conservation policies<sub>3</sub> and to accurately quantify their contribution to global carbon fluxes<sub>4</sub>. However, limited information exists on their remaining extent and long-term historical changes.</p><p>We produced a wall-to-wall map of TMF cover dynamics at 30-meter resolution from 1990 to 2019. Each individual image of the full Landsat archive (~1 200 000 scenes) has been mapped using an expert system to allow all disturbances in the forest cover - including from selective logging activities and fires that are visible during a short period - to be depicted and characterized in terms of timing (dates and duration), sequential dynamics, intensity, and extent.</p><p>The performance of our disturbance classifier has been validated against 12 235 reference sample plots resulting in 9.4% omissions, 8.1% false detections and 91.4% overall accuracy. </p><p>Our dataset depicts the TMF extent and patterns of disturbances through two complementary layers: a transition map and an annual change dataset. The transition map captures the resulting disturbance dynamics over the 30 years by depicting (i) remaining undisturbed forests, (ii) two types of degraded forests (corresponding mostly to either logged or burned forests), (iii) young forest regrowth, and (iv) deforested land that includes four subcategories of converted land cover: (a) water bodies (new dams and river flow changes); (b) tree plantations; and (c) other land cover that includes infrastructure, agriculture, and mining. The annual change dataset is a collection of 30 maps depicting - for each year between 1990 and 2019 - the spatial extents of undisturbed forests and disturbances.</p><p><br>We found that pan-tropical forest disturbances have been underestimated so far. For the first time at this scale, we discriminate deforestation from degradation and we underline the importance of the degradation process in tropical forest ecosystems. Our analysis shows the trends of deforestation and degradation by country, sub-region, and continent. Finally, we extrapolated the recent average rates of disturbances to predict the extent of the undisturbed TMF by 2050.<br><br></p><p>We will continue to update the TMF dataset with future Landsat data and intend to adapt the methodology to Sentinel 2 data (available since 2015) towards near real-time monitoring of TMF with a higher frequency of observations and finer spatial resolution.<br><br>1. Gibson et al. 2011 doi:10.1038/nature10425<br>2. Watson et al. 2018 Doi:10.1038/s41559-018-0490-x<br>3. Mackey et al. 2015 doi:10.1111/conl.12120<br>4. Mitchard E.T.A. 2018 doi </p>


2000 ◽  
Vol 21 (6-7) ◽  
pp. 1473-1490 ◽  
Author(s):  
T. Richards ◽  
J. Gallego ◽  
F. Achard

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