Results 81 to 90 of about 107,108 (274)
ABSTRACT Exhaustive long‐term and large‐scale ice jam records are scarce in most cold river environments. Many discrete events occur in small, sparsely populated river systems and are poorly represented in open‐source databases. These observation biases are transferred to predictive models of ice jams and the collective understanding of their formation
Lisane Arsenault‐Boucher +4 more
wiley +1 more source
Analysis of multiple incidence angle SIR-B data for determining forest stand characteristics [PDF]
For the first time in the U.S. space program, digital synthetic aperture radar (SR) data were obtained from different incidence angles during Space Shuttle Mission 41-G.
Gillespie, D. D. +4 more
core +1 more source
Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine
Marine habitat mapping using satellite imagery can provide baseline and monitoring data across large spatial scales and in remote locations globally. This study evaluates how key methodological choices influence the accuracy of open‐source (for non‐commercial use), cloud‐based satellite mapping workflows for seagrass meadows in the Maldives.
Matthew Floyd +2 more
wiley +1 more source
The absolute radiometric calibration of the advanced very high resolution radiometer [PDF]
The measurement conditions are described for an intensive field campaign at White Sands Missile Range for the calibration of the AVHRRs on NOAA-9, NOAA-10 and NOAA-11, LANDSAT-4 TM and SPOT.
Ding, Y., Slater, P. N., Teillet, P. M.
core +1 more source
Science Writers' Guide to Landsat 7 [PDF]
This guide was produced for science writers and the media and profiles several Landsat 7 research projects, and provides background and contact information.
core
Tree canopy height is a key indicator of forest biomass and structure, yet accurate mapping across the Amazon remains challenging. Here, we generated a canopy height map of the Amazon forest at ~4.8 m resolution using Planet NICFI imagery and a deep learning U‐Net model trained with airborne LiDAR data.
Fabien H. Wagner +21 more
wiley +1 more source
The verification of LANDSAT data in the geographical analysis of wetlands in west Tennessee [PDF]
The reliability of LANDSAT imagery as a medium for identifying, delimiting, monitoring, measuring, and mapping wetlands in west Tennessee was assessed to verify LANDSAT as an accurate, efficient cartographic tool that could be employed by a wide range of
Quattrochi, D. A., Rehder, J.
core +1 more source
Oil spill detection using optical sensors: a multi-temporal approach [PDF]
Oil pollution is one of the most destructive consequences due to human activities in the marine environment. Oil wastes come from many sources and take decades to be disposed of.
Laneve, Giovanni, Luciani, Roberto
core +2 more sources
Accurately estimating forest age is key to understanding how forests recover and evaluating restoration success. We developed a two‐step deep learning approach using historical greyscale aerial photographs to map forest age at fine spatial scales. By combining a pre‐trained model with localized fine‐tuning, our U‐Net + ResNet50 architecture achieved ...
Ying Ki Law +10 more
wiley +1 more source
Improving streamflow estimates through the use of LANDSAT [PDF]
Estimates of low flow and flood frequency in several southwestern Wisconsin basins were improved by determining land cover from LANDSAT imagery. With the use of estimates of land cover in multiple-regression techniques, the standard error of estimate (SE)
Allord, G. J., Scarpace, F. L.
core +1 more source

