Multitemporal Landsat Imagery with Optimum Band Ratio Techniques for Deciduous Forest Classification

Predicting temperate conifer forest successional stage distributions with multitemporal Landsat Thematic Mapper imagery

Forest succession is a fundamental ecological process which can impact the functioning of many terrestrial processes, such as water and nutrient cycling and carbon sequestration. Therefore, knowing the distribution of forest successional stages over a landscape facilitates a greater understanding of terrestrial ecosystems. One way of characterizing forest succession over the landscape is to use...

Processing of multitemporal Landsat TM imagery to optimize extraction of forest cover change features

Absfrucf-Digital procedures to optimize the information content of multitemporal Landsat TM data sets for forest cover change detection are described. Imagery from three different years (1984,1986, and 1990) were calibrated to exoatmospheric reflectance to minimize sensor calibration offsets and standardize data acquisition aspects. Geometric rectification was followed by atmospheric normalizat...

Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery

Lake Urmia is the 20th largest lake and the second largest hyper saline lake (before September 2010) in the world. It is also the largest inland body of salt water in the Middle East. Nevertheless, the lake has been in a critical situation in recent years due to decreasing surface water and increasing salinity. This study modeled the spatiotemporal changes of Lake Urmia in the period 2000–2013 ...

Mapping post-disturbance forest landscape composition with Landsat satellite imagery

Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest

Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest John A. Long a , Rick L. Lawrence a , Mark C. Greenwood b , Lucy Marshall a & Perry R. Miller a a Department of Land Resources and Environmental Sciences , Montana State University , P.O. Box 173120, Bozeman , MT , 59715-3120 , USA b Department of Mathematical Sciences , Montana State University , Boz...