Results 101 to 110 of about 132,507 (298)

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan   +5 more
wiley   +1 more source

Landsat-8 vs. Sentinel-2: examining the added value of sentinel-2’s red-edge bands to land-use and land-cover mapping in Burkina Faso

open access: yesGIScience & Remote Sensing, 2018
The availability of freely available moderate-to-high spatial resolution (10–30 m) satellite imagery received a major boost with the recent launch of the Sentinel-2 sensor by the European Space Agency.
Gerald Forkuor   +3 more
doaj   +1 more source

Computationally Inexpensive Landsat 8 Operational Land Imager (OLI) Pansharpening

open access: yesRemote Sensing, 2016
Pansharpening algorithms fuse higher spatial resolution panchromatic with lower spatial resolution multispectral imagery to create higher spatial resolution multispectral images.
Hankui K. Zhang, David P. Roy
doaj   +1 more source

INVESTIGATION OF DEFORESTATION USING MULTI-SENSOR SATELLITE TIME SERIES DATA IN NORTH KOREA [PDF]

open access: yes, 2017
Department of Urban and Environmental Engineering(Environmental Science and Engineering)North Korea is very vulnerable to natural disasters such as floods and landslides due to institutional, technological, and other various reasons. Recently, the damage
Jang, Yeeun
core  

Alps glacier velocities 2013-2015 (Landsat 8)

open access: yes, 2019
This dataset contains the median glacier surface velocity for the Alps for the years 1999-2003 (Landsat 7 SLC-ON only). The velocities has been obtained by feature-tracking of Landsat images spaced 1 year apart. The folder contains the following fields at 30 m resolution in GeoTiff format: - the velocity magnitude 'vel' (meters per year) - the x/y ...
Amaury, Dehecq   +4 more
openaire   +1 more source

Evaluating methods for high‐resolution, national‐scale seagrass mapping in Google Earth Engine

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

Quantifying Changes in the Land Over Time: A Landsat Classroom Activity [PDF]

open access: yes, 2006
Students in grades 7-10 analyze land cover change in order to help them grasp the extent, significance, and consequences of land cover change; and to introduce them to the perspective of space-based observations.
NASA GSFC
core  

Wall‐to‐wall Amazon forest height mapping with Planet NICFI, Aerial LiDAR, and a U‐Net regression model

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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 Ground-Based Absolute Radiometric Calibration of Landsat 8 OLI

open access: yesRemote Sensing, 2015
This paper presents the vicarious calibration results of Landsat 8 OLI that were obtained using the reflectance-based approach at test sites in Nevada, California, Arizona, and South Dakota, USA.
Jeffrey Czapla-Myers   +8 more
doaj   +1 more source

Improving forest age estimation to understand subtropical forest regrowth dynamics using deep learning image segmentation of time‐series historical aerial photographs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
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

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