عنوان المقال عربي
استخدام الاستشعار عن بعد لتقييم حساسية الغابات الاستوائية للجفاف في شرق الأمازون
Abstract
Since the year 2005, Brazilian Amazon has experienced the decline of deforestation rates due to regional & federal public policies as well as to production chain commitments. The agricultural frontier seems to be stabilized with a fragmented landscape of cropland, pasture and primary and secondary forest patches. But, the remaining forestry was experiencing a process of forest degradation: recurrent, selective logging and non-controlled fire that is coming from the harvesting areas which occurs in the forest mosaics which reduce their biomass and their biodiversity and increase their vulnerability to dryness and fire. Assessing the forest degradation is an important environmental and economic challenge, as it could strongly reduce the ecosystem services provided by forest. This paper proposes a method for monitoring Amazonian tropical forest degradation based on its vulnerability to dryness, with the hypothesis that higher the forest is degraded, lower is its photosynthetic activity during dry season. Linear regressions were performed between MODIS EVI and TRMM monthly values for MODIS pixels, to evaluate the dependency of forests photosynthetic activity on rainfall. A method was applied in Paragominas county, located in eastern Brazil, covering about 19,342 km². It was processed between the 2000-2015 period and was evaluated with field observations on the structure of the forest and characterizing the degradation phenomena. Results have shown the possibility of distinguishing disturbed forests from undisturbed primary forests with this index during dry season because the trees are capable of exploring deep water storage, and minimize dry air stress because of the high and close canopy, and the reduced fragmentation. This index was never used to assess the forest degradation.
Keywords
EVI, forest degradation, TRMM, EVI, tropical forests, forest vulnerability to drought
Recommended Citation
Hassan, Ali Fadhil
(2025)
"The use of Remote Sensing to assess of tropical forests drought sensitivity in the eastern Amazon,"
Uruk for Humanities: Vol. 16:
Iss.
1, Article 28.
Available at:
https://muthuruk.mu.edu.iq/journal/vol16/iss1/28
