Landsat forest and range inventory of southeast Texas counties by administrative boundaries

Integration of Lidar, Landsat Etm+ and Forest Inventory Data for Regional Forest Mapping

Recent work has established the utility of waveform sampling lidar for predicting forest structural attributes. Nevertheless, serious obstacles to its wide-spread use still exist. They include the lack of waveform sampling lidar sensors capable of measuring forest canopy structure over large extents, and the practical difficulty of developing widely applicable relationships to predict forest st...

Inventory of Semi-Arid Rangelands in South Texas with LANDSAT Data

Southeast Texas: Hothouse of Zydeco

The neighboring states of Texas and Louisiana share much history and culture, yet in popular consciousness they often seem to be drastically different places. Media-perpetuated stereotypes—such as the Lone Star cowboy riding the open prairie or the savvy Creole paddling through the swamp—are obviously not entirely representative, past or present. Yet they persist, and such public images surely ...

Comparative analyses of East Texas forest cover maps generated from Landsat and AVHRR data

Comparing satellite data derived map products are affected by differences in data characteristics, image acquisition dates, processing techniques, and classification schemes used for assigning pixels to a thematic class. By comparing two forest maps generated from Landsat Enhanced Thematic Mapper Plus (ETM+) and Advanced Very High Resolution Radiometer (AVHRR) images acquired on the same day, a...

Monitoring forest disturbances in Southeast Oklahoma using Landsat and MODIS images

Monitoring forest disturbances using remote sensing data with high spatial and temporal resolution can reveal relationships between forest disturbances and forest ecological patterns and processes. In this study, we fused Landsat data at high spatial resolution (30 m) with 8-day MODIS data to produce high spatial and temporal resolution image time-series. The Spatial Temporal Adaptive Algorithm...