2015
DOI: 10.1590/1809-4392201401073
View full text |Buy / Rent full text
|
Sign up to set email alerts
|

Abstract: Radiometric changes observed in multi-temporal optical satellite images have an important role in efforts to characterize selective-logging areas. The aim of this study was to analyze the multi-temporal behavior of spectral-mixture responses in satellite images in simulated selective-logging areas in the Amazon forest, considering red/near-infrared spectral relationships. Forest edges were used to infer the selective-logging infrastructure using differently oriented edges in the transition between forest and d… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 18 publications
(1 reference statement)
0
1
0
Order By: Relevance
“…This is especially the case in assessments of secondary and tertiary skid trails, where the area between the machinery wheels or tracks may be only slightly compacted and recovered quickly. Moreover, there are many options available to inventory and classify skid trail use intensity with rapidly developing remote sensing technologies such as high-resolution satellite imagery, Unmanned Aerial Vehicles (UAVs) and airborne Light Detection And Ranging (LIDAR) (Pierzchała et al 2014;Graça et al 2015;Melendy et al 2018;Robichaud et al 2020). So, the question remains if skid trails naturally recover.…”
Section: Final Remarksmentioning
confidence: 99%
“…This is especially the case in assessments of secondary and tertiary skid trails, where the area between the machinery wheels or tracks may be only slightly compacted and recovered quickly. Moreover, there are many options available to inventory and classify skid trail use intensity with rapidly developing remote sensing technologies such as high-resolution satellite imagery, Unmanned Aerial Vehicles (UAVs) and airborne Light Detection And Ranging (LIDAR) (Pierzchała et al 2014;Graça et al 2015;Melendy et al 2018;Robichaud et al 2020). So, the question remains if skid trails naturally recover.…”
Section: Final Remarksmentioning
confidence: 99%