Results 31 to 40 of about 9,304 (219)

Source identification and quantification of particulate matter emitted from livestock houses [PDF]

open access: yes, 2010
There is need to identify and quantify the contribution of different sources to airborne particulate matter (PM) emissions from animal houses. To this end, we compared the chemical and morphological characteristics of fine and coarse PM from known ...
Aarnink, A.J.A.   +5 more
core   +2 more sources

A comparison of unsupervised segmentation parameter optimization approaches using moderate- and high-resolution imagery

open access: yesGIScience & Remote Sensing, 2017
Unsupervised segmentation optimization methods have been proposed to aid in selecting an “optimal” set of scale parameters quickly and objectively for object-based image analysis.
Heather Grybas   +2 more
doaj   +1 more source

New Tools for the Classification and Filtering of Historical Maps

open access: yesISPRS International Journal of Geo-Information, 2019
Historical maps constitute an essential information for investigating the ecological and landscape features of a region over time. The integration of heritage maps in GIS models requires their digitalization and classification. This paper presents a semi-
Stefano Gobbi   +5 more
doaj   +1 more source

Toward the automatic detection of effective gerbil holes in desert grasslands through unmanned aerial vehicle imagery

open access: yesGeocarto International, 2023
Rapidly determining the density of effective gerbil holes is ecologically important but technically challenging. However, unmanned aerial vehicles (UAVs) offer new methods to identify effective gerbil holes and understand the spatial relationships ...
Guimei Qi   +4 more
doaj   +1 more source

Land Cover Change Image Analysis for Assateague Island National Seashore Following Hurricane Sandy [PDF]

open access: yes, 2015
The assessment of storm damages is critically important if resource managers are to understand the impacts of weather pattern changes and sea level rise on their lands and develop management strategies to mitigate its effects. This study was performed to
Congalton, Russell G., Grybas, Heather
core   +2 more sources

Multi-Regional landslide detection using combined unsupervised and supervised machine learning

open access: yesGeomatics, Natural Hazards & Risk, 2021
Landslide detection is concerned with delineating the extent of landslides. Most of existing works on landslide detection have limited geographical extents. Therefore, the models developed out of these studies might perform poorly when applied to regions
Faraz S. Tehrani   +2 more
doaj   +1 more source

Unmanned Aerial Vehicles (UAVs) in environmental biology: A Review [PDF]

open access: yes, 2018
Acquiring information about the environment is a key step during each study in the field of environmental biology at different levels, from an individual species to community and biome.
Bogawski, Pawel   +2 more
core   +2 more sources

Automatic mapping aquaculture in coastal zone from TM imagery with OBIA approach [PDF]

open access: yes, 2010
IEEE GRSS; The Geographical Society of ChinaAquaculture area monitoring is of great importance for coastal zone sustainable management and planning. This paper focuses on the development and assessment of an automatic approach for aquaculture mapping in ...
Li, Qin   +4 more
core   +2 more sources

Mapping invasive alien plant species with very high spatial resolution and multi-date satellite imagery using object-based and machine learning techniques: A comparative study

open access: yesGIScience & Remote Sensing, 2023
Invasive alien plant species (IAPS) have negative impacts on ecosystems, including the loss of biodiversity and the alteration of ecosystem functions. The strategy for mitigating these impacts requires knowledge of these species’ spatial distribution and
Fiston Nininahazwe   +3 more
doaj   +1 more source

Self-Adaptive-Filling Deep Convolutional Neural Network Classification Method for Mountain Vegetation Type Based on High Spatial Resolution Aerial Images

open access: yesRemote Sensing, 2023
The composition and structure of mountain vegetation are complex and changeable, and thus urgently require the integration of Object-Based Image Analysis (OBIA) and Deep Convolutional Neural Networks (DCNNs). However, while integration technology studies
Shiou Li   +7 more
doaj   +1 more source

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