Results 101 to 110 of about 167,285 (319)

30m resolution Global Annual Burned Area Mapping based on Landsat images and Google Earth Engine [PDF]

open access: yesarXiv, 2018
Heretofore, global burned area (BA) products are only available at coarse spatial resolution, since most of the current global BA products are produced with the help of active fire detection or dense time-series change analysis, which requires very high temporal resolution.
arxiv  

Image Gravimetry: A New Remote Sensing Approach for Gravity Analysis in Geophysics [PDF]

open access: yesarXiv, 2020
In this paper a new Geophysical gravimetry approach is presented, which is based on satellite imagery in remote sensing. The method uses a satellite image, together with a set of points in the image the gravity values of which are known. Template-based spheroidal spline method of interpolation is used to constitute a system of equations to find the ...
arxiv  

Who will fund Landsat?

open access: yesEos, Transactions American Geophysical Union, 1991
A first‐ever joint hearing of the Science, Space, and Technology Committee and the House Permanent Select Committee on Intelligence was held on June 26 to ascertain the true value of the civilian satellite program—Landsat—to the scientific, environmental, and military communities.Landsats collect multispectral images that are used for such purposes as ...
openaire   +2 more sources

LANDSAT information for state planning [PDF]

open access: yes
The transfer of remote sensing technology for the digital processing of LANDSAT data to state and local agencies in Georgia and other southeastern states is discussed.
Faust, N. L., Spann, G. W.
core   +1 more source

Spatiotemporal patterns and driving factors for vegetation growth status in the upper reaches of the Yellow River

open access: yesRiver, EarlyView.
This study developed the WEP‐CHC model, integrating vegetation growth dynamics into the hydrological WEP framework, to explore the spatiotemporal patterns and driving mechanisms of vegetation growth status (VGS) in the upper Yellow River. The results revealed significant spatiotemporal variability in VGS, with annual hydrothermal conditions and soil ...
Xiaolong Wang   +7 more
wiley   +1 more source

Expansion dynamics of deciduous rubber plantations in Xishuangbanna, China during 2000–2010

open access: yesGIScience & Remote Sensing, 2018
Monoculture rubber plantations have been replacing tropical rain forests substantially in Southern China and Southeast Asia over the past several decades, which have affected human wellbeing and ecosystem services.
Weili Kou   +8 more
doaj   +1 more source

Utilization of remote sensing in Alaska permafrost studies [PDF]

open access: yes
Permafrost related features such as: aufeis, tundra, thaw lakes and subsurface ice features were studied. LANDSAT imagery was used to measure the extent and distribution of aufeis in Arctic Slope rivers over a period of 7 years.
Hall, D. K.
core   +1 more source

From imagery to ecology: Leveraging time series of all available Landsat observations to map and monitor ecosystem state and dynamics [PDF]

open access: yes, 2016
https://zslpublications.onlinelibrary.wiley.com/doi/full/10.1002/rse2.24Published ...
Holden, C. E.   +3 more
core   +1 more source

Who's the boss? Understanding the spatial relationship between snow leopard and Eurasian lynx in southern Mongolia

open access: yesWildlife Biology, EarlyView.
Interspecific competition, a fundamental ecological process characterized by negative interactions between species, plays a vital role in shaping ecological communities. Despite the co‐occurrence of the snow leopard Panthera uncia and the Eurasian lynx Lynx lynx across vast landscapes in Asia, their interactions remain poorly understood. In this study,
Choidogjamts Byambasuren   +5 more
wiley   +1 more source

Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models [PDF]

open access: yes
Kelp forests, as foundation species, are vital to marine ecosystems, providing essential food and habitat for numerous organisms. This study explores the integration of crowdsourced labels with advanced artificial intelligence models to develop a fast and accurate kelp canopy detection pipeline using Landsat images. Building on the success of a machine
arxiv   +1 more source

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