Optical remote sensing indices play an important role in vegetation information extraction and have been widely serving ecology, agriculture forestry, urban monitoring, other communities. Remote are constructed from individual bands depending on special characteristics to enhance the typical spectral features for identification or distinction of surface land covers. With development quantitativ...

A variety of extensions to the traditional (ACID) transaction model have resulted in a plethora of extended transaction models (ETMs). Many of these ETMs are application-specific, i.e., they are designed to provide correctness guarantees adequate for a particular application, but not others. Similarly, an application-specific ETM may impose restrictions that are unacceptable in one application,...

We describe a new minimum extent, persistent surface water classification for reaches of four major rivers in the Peruvian Amazon (i.e., Amazon, Napo, Pastaza, Ucayali). These data were generated by Rural Livelihoods and Poverty (PARLAP) Project which aims to better understand nexus between livelihoods (e.g., fishing, agriculture, forest use, trade), poverty, conservation over 35,000 km river n...

Image blending is one of the alternative methods to fill temporal gaps in monitoring historical vegetation properties using continuous NDVI derived from Landsat 5 TM / 7 ETM+ and 8 OLI images. Frequent cloud occurrence tropical upstream catchment limits use image that allow employment a single pair base reference. This study aims evaluate two with nine input data configurations select most appl...

The small-scale distribution and retention mechanisms of white perch (Morone americana) and striped bass (M. saxatilis) early-life stages were investigated in the upper Chesapeake Bay estuarine turbidity maximum (ETM). Physical measurements and biological collections were made at fixed-location stations within the ETM during three research cruises in 1998 and two in 1999. Results were compared ...

Motivated by the increasing importance of hyperspectral remote sensing data, this study sought to determine whether current-generation narrow-band hyperspectral remote sensing data could better track vegetation leaf area index (LAI) than traditional broad-band multispectral data. The study takes advantage of a unique dataset, wherein field measurements of LAI were acquired at the same general t...

ABSTRACT Hydroelectric dams represent an important threat to seasonally flooded environments in the Amazon basin. We aimed evaluate how a dam Madeira River, one of largest tributaries Amazonas affected floodplain avifauna. Bird occurrence was recorded through simultaneous passive acoustic monitoring early successional vegetation and forest downstream from upstream sites impacted by permanent fl...

Physical and biological properties of the Chesapeake Bay estuarine turbidity maximum (ETM) region may influence retention and survival of anadromous white perch (Morone americana) and striped bass larvae (Morone saxatilis). To evaluate this hypothesis we collected data in five cruises, three during May 1998 and two during May 1999, in upper Chesapeake Bay. Time series of freshwater discharge, w...