Filters








10 Hits in 8.6 sec

ACFNet: A Feature Fusion Network for Glacial Lake Extraction Based on Optical and Synthetic Aperture Radar Images

Jinxiao Wang, Fang Chen, Meimei Zhang, Bo Yu
2021 Remote Sensing  
lakes based on Landsat 8 optical images and Sentinel-1 SAR images.  ...  The experiments show that fully extracting the characteristics of optical and SAR data and appropriately fusing them are vital steps in a network's performance of glacial lake extraction.  ...  Bhardwaj, A.; Singh, M.K.; Joshi, P.K.; Snehmani; Singh, S.; Sam, L.; Gupta, R.D.; Kumar, R. A lake detection algorithm (LDA) using Landsat 8 data: A comparative approach in glacial environment.  ... 
doi:10.3390/rs13245091 fatcat:pdkket3bbvakdod3ib5ach352e

The State of Remote Sensing Capabilities of Cascading Hazards Over High Mountain Asia

Dalia Kirschbaum, C. Scott Watson, David R. Rounce, Dan H. Shugar, Jeffrey S. Kargel, Umesh K. Haritashya, Pukar Amatya, David Shean, Eric R. Anderson, Minjeong Jo
2019 Frontiers in Earth Science  
Given the limitations of in situ surveys in steep and often inaccessible terrain, remote sensing data are a valuable resource for better understanding and quantifying these processes.  ...  High Mountain Asia (HMA) is extremely vulnerable to cascading hazard processes given the tectonic, geomorphologic, and climatic setting of the region, particularly as it relates to glacial lakes.  ...  For instance, rock-ice avalanche runout length has been found to increase roughly 25% in glacial environments, compared to nonglacial environments (Evans and Clague, 1994; Deline, 2001) .  ... 
doi:10.3389/feart.2019.00197 pmid:33505978 pmcid:PMC7837424 fatcat:tormye7u2bhllh6xu2yhdzzlwi

Geostatistical and Statistical Classification of Sea-Ice Properties and Provinces from SAR Data

Ute Herzfeld, Scott Williams, John Heinrichs, James Maslanik, Steven Sucht
2016 Remote Sensing  
We introduce, validate and apply geostatistical and statistical approaches to automated classification of sea ice from SAR data, to be used as individual tools for mapping sea-ice properties and provinces  ...  In consequence, the geostatistical-statistical classification may be applied to detect changes in ice dynamics, kinematics or environmental changes, such as increased melt ponding, increased snowfall or  ...  Herzfeld), NNX15AC73G "Study of Glacial Acceleration Types through Innovative Approaches to CryoSat-2, ICESat, Operation IceBridge and Other Altimeter Data Analysis and Algorithm Development for ICESat  ... 
doi:10.3390/rs8080616 fatcat:arnehpzzc5h7nmidbnhqxreoj4

Remote Sensing of Geomorphodiversity Linked to Biodiversity—Part III: Traits, Processes and Remote Sensing Characteristics

Angela Lausch, Michael E. Schaepman, Andrew K. Skidmore, Eusebiu Catana, Lutz Bannehr, Olaf Bastian, Erik Borg, Jan Bumberger, Peter Dietrich, Cornelia Glässer, Jorg M. Hacker, Rene Höfer (+25 others)
2022 Remote Sensing  
It is shown that there is no comparable approach with which to define and record the five characteristics of geomorphodiversity using only RS data in the literature.  ...  Finally, the importance of the digitization process and the use of data science for research in the field of geomorphology in the 21st century is elucidated and discussed.  ...  T.W. wishes to thank the German Federal Environmental Foundation (Deutsche Bundesstiftung Umwelt (DBU) and for the CLEARING HOUSE (Collaborative Learning in Research, Information-sharing, and Governance  ... 
doi:10.3390/rs14092279 fatcat:5khv6g2q4rgtlp5pgym4hr3oum

Anthropogenetische Geomorphologie - Geomorphologie im Anthropozän : Virtuelle Jahrestagung des Arbeitskreises für Geomorphologie 2020, 28./29. September 2020, BTU Cottbus - Senftenberg

Thomas Raab, Werner Gerwin, Christoph Hinz, Michael Krautblatter
2020 Geopedology and Landscape Development Research Series  
With its mining activities, Lusatia offers a multitude of examples of profound changes in the shape of the earth's surface due to human influences.  ...  The topic of the conference was "Anthropogenic Geomorphology - Geomorphology in the Anthropocene" and dealt with the issue of humans as a key driver for landform evolution, which is currently being discussed  ...  To understand what AS from Arctic lake sediments tell us, we compare late glacial-to-interglacial records with AS and charcoal composition in modern lake surface sediments of Lake El'gygytgyn and three  ... 
doi:10.26127/btuopen-5363 fatcat:bsy2hx6prvdc3gjdslrwrl7i6y

Sensing technologies for precision specialty crop production

W.S. Lee, V. Alchanatis, C. Yang, M. Hirafuji, D. Moshou, C. Li
2010 Computers and Electronics in Agriculture  
Sensing techniques for crop biomass detection, weed detection, soil properties and nutrients are most advanced and can provide the data required for site specific management.  ...  This paper presents a review of these sensing technologies and discusses how they are used for precision agriculture and crop management, especially for specialty crops.  ...  The effectiveness of disease detection depends on the data processing algorithms that are used.  ... 
doi:10.1016/j.compag.2010.08.005 fatcat:tesilbgowvf3vplcwgbcevmhyy

Landscape metrics and cultural ecosystem services: an integrative resource-driven mapping approach for landscape harmony

Oleksandr Karasov, Mart Külvik, Igor Chervanyov
2020
Measuring landscape preferences is also quite a challenging task, requiring many people involved in assessment of photographs or even having a nature trip (with obvious drawbacks in spatial coverage and  ...  These variables can be easily measured using satellite imagery and cartographic materials: for example, the diversity of landscape elements can be assessed with a function of Shannon information entropy  ...  The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.  ... 
doi:10.15159/emu.58 fatcat:lfbudsqsjjfrdgr4sqyvgdlm44

Remote sensing methods for biodiversity monitoring with emphasis on vegetation height estimation and habitat classification

Zisis Petrou, Tania Stathaki
2015
Finally, two approaches are introduced to advance the state of the art in habitat classification using remote sensing data and pre-existing land cover information.  ...  Then, a cost and resource effective approach is proposed for vegetation height estimation, using satellite imagery from very high resolution passive sensors.  ...  Using label information, LDA is expected to perform better than the unsupervised approaches.  ... 
doi:10.25560/26589 fatcat:6nstga7jfzarbhxynsacpv2sai

Innovative techniques for the hydraulic and hydrological variables assessment

Giada Molari
2021
A work environment based on respect and collaboration. Having been part of it makes me lucky.  ...  All these research activities were performed with the contribution of Travedona-Monate Municipality (Varese, Italy) under a research agreement with the Department of Civil, Chemical, Environmental and  ...  Kleinherenbrink et al. (2020) have implemented the FF-SAR algorithm over lakes, canals, and ditches in Netherlands using CryoSat-2 full-bit-rate data.  ... 
doi:10.48676/unibo/amsdottorato/9835 fatcat:66zqgnoexve3jfqihj5n76mjle

Vegetation change on subantarctic Macquarie Island

NB Fitzgerald
2020
Macquarie Island has a high diversity of vascular plant species and vegetation communities compared to other subantarctic islands.  ...  Climatic factors such as wind exposure, air temperature and cloud cover were investigated using field data, image interpretation and spatial modelling to better understand topographic variation in these  ...  Long-term monitoring of feldmark ecotones would be a useful approach to detect potential vegetation change.  ... 
doi:10.25959/100.00034913 fatcat:4vyvsl35xrf7xlcuzkhbjcqspy