Identifying Forest Impacted by Development in the Commonwealth of Virginia through the Use of Landsat and Known Change Indicators
This study examines the effectiveness of using the Normalized Difference Vegetation Index (NDVI) derived from 1326 different Landsat Thematic Mapper and Enhanced Thematic Mapper images in finding low density development within the Commonwealth of Virginia’s forests. Individual NDVI images were stack...
Main Authors: | Matthew N. House, Randolph H. Wynne |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/1/135 |
Similar Items
-
Identifying Forest Conversion Hotspots in the Commonwealth of Virginia using Multitemporal Landsat Data and Known Change Indicators
by: House, Matthew Neal
Published: (2018) -
Attribution of Disturbance Agents to Forest Change Using a Landsat Time Series in Tropical Seasonal Forests in the Bago Mountains, Myanmar
by: Katsuto Shimizu, et al.
Published: (2017-06-01) -
Landsat Imagery Spectral Trajectories—Important Variables for Spatially Predicting the Risks of Bark Beetle Disturbance
by: Martin Hais, et al.
Published: (2016-08-01) -
US National Maps Attributing Forest Change: 1986–2010
by: Karen G. Schleeweis, et al.
Published: (2020-06-01) -
Intensified Management of Coffee Forest in Southwest Ethiopia Detected by Landsat Imagery
by: Byongjun Hwang, et al.
Published: (2020-04-01)