Results 81 to 90 of about 2,668 (204)

Investigating palaeodune orientations and contemporary wind regimes in Southeast Kazakhstan using a semi‐automated mapping framework

Earth Surface Processes and Landforms, Volume 49, Issue 14, Page 4553-4569, November 2024.
We present a semi‐automated framework applying object‐based analysis of Sentinel‐2 and digital elevation data to map dunes and quantify their orientation. The approach is applied to five dune fields in the Ili‐Balkhash region in Kazakhstan. Comparing bedform orientations with the modern wind regime, we find (1) better alignment considering only strong ...
Maike Nowatzki, Kathryn E. Fitzsimmons, Hartwig Harder, Hans‐Joachim Rosner   +3 more
wiley   +1 more source

Evaluating the potential of multi-view data extraction from small Unmanned Aerial Systems (UASs) for object-based classification for Wetland land covers

GIScience & Remote Sensing, 2019
Unmanned Aerial Systems (UASs) have the potential to provide multi-view data, but the approaches used to extract the multi-view data from UAS and investigation of their use in image classification are currently unavailable in publications to our best ...
Tao Liu, Amr Abd-Elrahman, Bon Dewitt, Scot Smith, Jon Morton, Victor L. Wilhelm   +5 more
doaj   +1 more source

Fusion of pixel-based and object-based features for classification of urban hyperspectral remote sensing data [PDF]

, 2014
Hyperspectral imagery contains a wealth of spectral and spatial information that can improve target detection and recognition performance. Typically, spectral information is inferred pixel-based, while spatial information related to texture, context and ...
Devriendt, Flore, Gautama, Sidharta, Liao, Wenzhi, Philips, Wilfried, Pizurica, Aleksandra, Vancoillie, Frieke   +5 more
core  

Assessment of habitat quality and landscape connectivity for forest-dependent cracids in the Sierra Madre del Sur Mesoamerican biological corridor, Mexico [PDF]

, 2019
Assessing landscape connectivity allows us to identify critical areas that impede or facilitate the movement of organisms and their genes and to plan their conservation and management.
Castillo Santiago, Miguel Ángel, Enríquez, Paula L., Escobar Ocampo, Maria Consuelo, Ochoa-Gaona, Susana, Sibelet, Nicole   +4 more
core   +2 more sources

A hierarchical method and workflow for the semi‐automated mapping of valley bottom geomorphic units using publicly available remote sensing datasets

Earth Surface Processes and Landforms, Volume 49, Issue 11, Page 3524-3540, 15 September 2024.
We develop a hierarchical method to map geomorphic units across valley bottoms. The method accommodates user decisions regarding effort invested versus quality and accuracy. The method produces 12 preliminary, 20 refined, and four sub‐types of geomorphic units. The method can be applied to all river types.
Nuosha Zhang, Kirstie Fryirs
wiley   +1 more source

RAZÕES PARA AS ENCHENTES E INUNDAÇÕES NO RESIDENCIAL CARLOS MARIGHELLA: UMA ANÁLISE MULTITEMÁTICA DA BACIA DO RIO DO VIGÁRIO, EM MARICÁ-RJ

Revista da ANPEGE, 2020
Enchentes e inundações são eventos recorrentes no Brasil, causando perdas humanas e materiais em diferentes regiões do país. Sendo assim, este trabalho tem a proposta de realizar uma análise multitemática da bacia do Rio do Vigário, localizada ...
Vinicius da Silva Seabra, Otávio Miguez da Rocha-Leão   +1 more
doaj  

Optimal spatial resolution of Unmanned Aerial Vehicle (UAV)-acquired imagery for species classification in a heterogeneous grassland ecosystem

GIScience & Remote Sensing, 2018
Species composition is an essential biophysical attribute of vegetative ecosystems. Unmanned aerial vehicle (UAV)-acquired imagery with ultrahigh spatial resolution is a valuable data source for investigating species composition at a fine scale, which is
Bing Lu, Yuhong He
doaj   +1 more source

Optimal land cover mapping and change analysis in northeastern oregon using landsat imagery. [PDF]

, 2015
The necessity for the development of repeatable, efficient, and accurate monitoring of land cover change is paramount to successful management of our planet’s natural resources. This study evaluated a number of remote sensing methods for classifying land
Campbell, Michael J, Congalton, Russell G., Hartter, Joel N.   +2 more
core   +2 more sources

Quantifying spatial complexity in submerged aquatic vegetation landscapes using remote sensing: Lessons from simulated and real landscapes

Limnology and Oceanography, Volume 69, Issue 7, Page 1465-1480, July 2024.
Abstract The spatial organization of vegetation has been shown to be a strong indicator of ecological state in multiple ecosystems. In this study, we analyze the relationships between spatial complexity metrics in submerged aquatic vegetation (SAV) landscapes, and we explore the potential of satellite remote sensing to quantify these metrics in ...
Arthur de Grandpré, Christophe Kinnard, Andrea Bertolo   +2 more
wiley   +1 more source

METODE GEOBIA DALAM KLASIFIKASI ZONA GEOMORFOLOGI TERUMBU KARANG DI PULAU POMBO

JGE (Jurnal Geofisika Eksplorasi), 2022
Terumbu karang merupakan komponen penting dalam ekosistem pesisir, karena keanekaragaman habitat yang hidup di terumbu karang, dan juga menawarkan keuntungan bagi manusia dalam eksploitasinya. Tapi keadaan terumbu karang di dunia mengalami degradasi, sehingga diperlukan metode untuk monitoring terumbu karang dengan pembuatan informasi spasial yang ...
openaire   +2 more sources