Zobrazeno 1 - 10
of 1 708
pro vyhledávání: '"Multispectral Imagery"'
Autor:
Francesca Cigna, Timo Balz, Deodato Tapete, Gino Caspari, Bihong Fu, Michele Abballe, Haonan Jiang
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 3, Pp 526-551 (2024)
Optical and Synthetic Aperture Radar (SAR) remote sensing has a long history of use and reached a good level of maturity in archaeological and cultural heritage applications, yet further advances are viable through the exploitation of novel sensor da
Externí odkaz:
https://doaj.org/article/771968a8f54f4d5995bd672c89aba888
Autor:
Sabine-Karen Lammoglia, You Lucette Akpa, Jean Homian Danumah, Yves Laurent Assoua Brou, Justin N'Dja Kassi
Publikováno v:
Data in Brief, Vol 55, Iss , Pp 110664- (2024)
This paper introduces a dataset of aerial imagery captured during the 2022 cocoa growing season in the central-western region of Côte d'Ivoire. The images were acquired using a multispectral camera mounted on a DJI Phantom 4 unmanned aerial vehicle
Externí odkaz:
https://doaj.org/article/f86f7271d74a40a9beb5534840cd708e
Publikováno v:
Ecological Indicators, Vol 164, Iss , Pp 112105- (2024)
In water monitoring, it is always a hot issue to exploring a method to improve the accuracy of remote sensing inversion. To this end, based on the actual investigation of the surrounding environment and water quality characteristics of the Fuyang riv
Externí odkaz:
https://doaj.org/article/eb5f26c5c705445cbd8e329f48cf3041
Autor:
Omid Ghorbanzadeh, Hejar Shahabi, Sepideh Tavakkoli Piralilou, Alessandro Crivellari, Laura Elena Cue la Rosa, Clement Atzberger, Jonathan Li, Pedram Ghamisi
Publikováno v:
IEEE Access, Vol 12, Pp 118453-118466 (2024)
The Remote Sensing (RS) field continuously grapples with the challenge of transforming satellite data into actionable information. This ongoing issue results in an ever-growing accumulation of unlabeled data, complicating interpretation efforts. The
Externí odkaz:
https://doaj.org/article/88a5beb4e0384828bd81a4204d33afaa
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 12477-12489 (2024)
Exploiting machine learning techniques to automatically classify multispectral remote sensing imagery plays a significant role in deriving changes on the Earth’s surface. However, the computation power required to manage large Earth observation dat
Externí odkaz:
https://doaj.org/article/6d1c83669ff54ad4a593a48073f9747a
Publikováno v:
IEEE Access, Vol 12, Pp 61991-62005 (2024)
Managing sloping terrains worldwide presents a significant challenge due to the lack of structured management practices, particularly when integrating various fruit trees in irregular arrangements. This study addresses the complexity arising from mix
Externí odkaz:
https://doaj.org/article/d3e44c4d32df4c32b016f733b160841e
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 1, Pp 142-147 (2024)
Modern geoinformation technologies, such as remote sensing satellite missions and classification methods, are becoming increasingly prominent in land cover classification. Due to the emergence of high spatial resolution missions with improved tempora
Externí odkaz:
https://doaj.org/article/04f636fcd89a40ed9a64532ef408c358
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Managing total suspended solids (TSS) in inland water is crucial for maintaining water quality and aquatic ecosystems. To obtain spatial data, the conventional method of point sampling TSS is a time- and labor-intensive task. Thus, recent efforts hav
Externí odkaz:
https://doaj.org/article/e84523cfca214a899de3abc0abcfcd18
Autor:
Jonathan Ventura, Camille Pawlak, Milo Honsberger, Cameron Gonsalves, Julian Rice, Natalie L.R. Love, Skyler Han, Viet Nguyen, Keilana Sugano, Jacqueline Doremus, G. Andrew Fricker, Jenn Yost, Matt Ritter
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103848- (2024)
Systematic maps of urban forests are useful for regional planners and ecologists to understand the spatial distribution of trees in cities. However, manually-created urban forest inventories are expensive and time-consuming to create and typically do
Externí odkaz:
https://doaj.org/article/73eb96e0e4214bc9b510f0b51f854545
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3019 (2024)
Unmanned aerial vehicles (UAVs) equipped with multispectral cameras offer great potential for applications in precision agriculture. A critical challenge that limits the deployment of this technology is the varying ambient illumination caused by clou
Externí odkaz:
https://doaj.org/article/2b74200fad55495db6ae0910f88d3aee