Results 81 to 90 of about 8,937 (214)

Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images

open access: yesRemote Sensing, 2023
Change detection in very-high-spatial-resolution (VHR) remote sensing images is a very challenging area with applicability in many problems ranging from damage assessment to land management and environmental monitoring. In this study, we investigated the
F. Javier Cardama   +2 more
doaj   +1 more source

From leaves to defenders: How the amount and dispersion of leaf damage affect extrafloral nectar production and ant‐mediated protection in wild cotton

open access: yesEcological Entomology, Volume 51, Issue 2, Page 395-404, April 2026.
Extrafloral nectar mediates interactions among plants, ants and herbivores; its contingency on damage amount and within‐plant uniformity is poorly understood. Here, we explore these factors in wild cotton (Gossypium hirsutum). Herbivory amount drove increases in extrafloral nectar induction per nectary, whereas within‐plant variability in damage ...
Víctor Hugo Ramírez‐Delgado   +8 more
wiley   +1 more source

Spatial Resolution Impact Assessment for Long‐Term Population Monitoring of Adélie Penguin Guano

open access: yesNew Zealand Journal of Geology and Geophysics, Volume 69, Issue 1, March 2026.
Adélie penguins (Pygoscelis adeliae) are key indicators of the Antarctic ecosystem, and remotely sensed guano stains offer an efficient means of estimating breeding abundance. Landsat medium‐resolution (MR) imagery enables long‐term monitoring through its archive.
Jinku Park   +9 more
wiley   +1 more source

Forwarding forest restoration: Seven key socio‐ecological issues for advancing forest restoration in a world in flux

open access: yesPeople and Nature, Volume 8, Issue 3, Page 569-581, March 2026.
Abstract Restoring forests can help conserve biodiversity, mitigate climate change and enhance human well‐being. Despite financial and political support for global forest restoration initiatives, projects continue to face persistent challenges and trade‐offs between environmental, climatic and socio‐economic goals.
Mariana Hernandez‐Montilla   +24 more
wiley   +1 more source

A ROUGH SET DECISION TREE BASED MLP-CNN FOR VERY HIGH RESOLUTION REMOTELY SENSED IMAGE CLASSIFICATION [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017
Recent advances in remote sensing have witnessed a great amount of very high resolution (VHR) images acquired at sub-metre spatial resolution. These VHR remotely sensed data has post enormous challenges in processing, analysing and classifying them ...
C. Zhang   +4 more
doaj   +1 more source

Damage assessment on buildings using very high resolution multimodal images and GIS [PDF]

open access: yes, 2007
Satellite images are more and more used to prevent natural disasters and mitigate their impact on populations. Their analysis is usually manually conducted by operators.
Binet, Renaud   +2 more
core   +2 more sources

Towards Automatic SAR-Optical Stereogrammetry over Urban Areas using Very High Resolution Imagery

open access: yes, 2018
In this paper we discuss the potential and challenges regarding SAR-optical stereogrammetry for urban areas, using very-high-resolution (VHR) remote sensing imagery.
Qiu, Chunping   +2 more
core   +1 more source

Two orders of wall‐to‐wall geographic data

open access: yesArea, Volume 58, Issue 1, March 2026.
Short Abstract The use of the term ‘wall‐to‐wall’ to describe geographically extensive data without any singular definition in the remote sensing and geographically related analysis. This work presents an assessment of the application of the term in the scientific literature. Abstract From personal observations of recent published works, the term “wall‐
Pete Bettinger   +2 more
wiley   +1 more source

Very High Resolution Synthetic Aperture Radar Systems and Imaging: A Review

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Given its capacity to generate 2-D fine images of observation areas, very high resolution (VHR) synthetic aperture radar (SAR) has become increasingly popular in myriad fields, including remote sensing, geoscience, and surveillance.
Xing Chen   +5 more
doaj   +1 more source

Incorporating DeepLabv3+ and object-based image analysis for semantic segmentation of very high resolution remote sensing images

open access: yesInternational Journal of Digital Earth, 2021
Semantic segmentation of remote sensing images is an important but unsolved problem in the remote sensing society. Advanced image semantic segmentation models, such as DeepLabv3+, have achieved astonishing performance for semantically labeling very high ...
Shouji Du   +3 more
doaj   +1 more source

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