TY - GEN
T1 - Detection of Deforested Areas in the Peruvian Amazon Using Satellite Images
AU - Carbajal, Ricardo
AU - Alvarez, Alejandro
AU - Lopez, Joshi
AU - Saturno, Miguel
AU - Murray, Victor
N1 - Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2023
Y1 - 2023
N2 - Deforestation brings many problems to humanity, so studies started to appear to help reduce the damages done by the root of the problem and restore the health of our forests. In this paper, we present a method that can help identify deforested areas with the intention that deforestation may be monitored automatically using satellite imagery in the future. We analyze satellite images from the Peruvian Amazon in three separate timelines to view change over time. First, we preprocessed the images to remove haze and cloud using the dark channel prior method. Then, we segment the deforested area in the clean images by converting the RGB images to HSV format and later filtering the color corresponding to forested areas. Then we produce three binary images from the HSV conversion. Finally, these images are merged to obtain a single image that shows the change of deforestation over time. The method is compared with methods based on NDVI and NDTS detecting more deforested regions.
AB - Deforestation brings many problems to humanity, so studies started to appear to help reduce the damages done by the root of the problem and restore the health of our forests. In this paper, we present a method that can help identify deforested areas with the intention that deforestation may be monitored automatically using satellite imagery in the future. We analyze satellite images from the Peruvian Amazon in three separate timelines to view change over time. First, we preprocessed the images to remove haze and cloud using the dark channel prior method. Then, we segment the deforested area in the clean images by converting the RGB images to HSV format and later filtering the color corresponding to forested areas. Then we produce three binary images from the HSV conversion. Finally, these images are merged to obtain a single image that shows the change of deforestation over time. The method is compared with methods based on NDVI and NDTS detecting more deforested regions.
KW - Deforestation
KW - Haze and cloud removal
KW - Satellite imaging
UR - http://www.scopus.com/inward/record.url?scp=85135009097&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-04435-9_49
DO - 10.1007/978-3-031-04435-9_49
M3 - Conference contribution
AN - SCOPUS:85135009097
SN - 9783031044342
T3 - Smart Innovation, Systems and Technologies
SP - 479
EP - 486
BT - Proceedings of the 7th Brazilian Technology Symposium, BTSym 2021 - Emerging Trends in Human Smart and Sustainable Future of Cities Volume 1
A2 - Iano, Yuzo
A2 - Saotome, Osamu
A2 - Kemper Vásquez, Guillermo Leopoldo
A2 - Cotrim Pezzuto, Claudia
A2 - Arthur, Rangel
A2 - Gomes de Oliveira, Gabriel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 7th Brazilian Technology Symposium, BTSym 2021
Y2 - 8 November 2021 through 10 November 2021
ER -