DETECTION AND CLASSIFICATION OF VEGETATION AREAS FROM RED AND NEAR INFRARED BANDS OF LANDSAT-8 OPTICAL SATELLITE IMAGE
Detection and classification of vegetation is a crucial technical task in the management of natural resources since vegetation serves as a foundation for all living things and has a significant impact on climate change such as impacting terrestrial carbon dioxide (CO2). Traditional approaches for a...
Saved in:
| Main Author: | Anusha NALLAPAREDDY |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Polish Association for Knowledge Promotion
2022-03-01
|
| Series: | Applied Computer Science |
| Subjects: | |
| Online Access: | https://ph.pollub.pl/index.php/acs/article/view/3337 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Using Bi-Temporal Lidar to Evaluate Canopy Structure and Ecotone Influence on Landsat Vegetation Index Trends Within a Boreal Wetland Complex
by: Farnoosh Aslami, et al.
Published: (2025-04-01) -
Phenology analysis for detection of vegetation changes based on Landsat 8 images in Nature Park Kopački rit, Croatia
by: Radočaj Dorijan, et al.
Published: (2024-01-01) -
An inclusive approach to crop soil moisture estimation: Leveraging satellite thermal infrared bands and vegetation indices on Google Earth engine
by: Fatima Imtiaz, et al.
Published: (2024-12-01) -
Analysis of Changes in Vegetation Cover Using Satellite Images of Sorok Island in Republic of Korea
by: Hyungjin Cho, et al.
Published: (2025-06-01) -
VEGETATION CHANGES OF SUNDARBANS BASED ON LANDSAT IMAGERY ANALYSIS BETWEEN 1975 AND 2006
by: MD. TARIQUL ISLAM
Published: (2014-06-01)