Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Multitemporal remote sensing"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 228-241 (2023)
Monitoring the spatiotemporal distribution of invasive aquatic plants is a challenge in many regions worldwide. One of the most invasive species on Earth is the water hyacinth. These plants are harmful to biodiversity and create negative impacts on s
Externí odkaz:
https://doaj.org/article/d342973cd5234cabb3dfb13397733994
Publikováno v:
Forests, Vol 14, Iss 11, p 2259 (2023)
Fruit planting plays an essential role in achieving zero hunger, ensuring food security, and increasing the income of local people. As one of China’s principal fruit-planting areas, southern Xinjiang possesses more than 80% of the total fruit-plant
Externí odkaz:
https://doaj.org/article/73e0fe6ad06b415ab2d4f74b784d7c74
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3859 (2023)
The rapid advancement of remote sensing technology has significantly enhanced the temporal resolution of remote sensing data. Multitemporal remote sensing image classification can extract richer spatiotemporal features. However, this also presents th
Externí odkaz:
https://doaj.org/article/e5bf7f4868b04ff790ddac5165b19cc9
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9531-9544 (2022)
Urban green space plays a crucial role in the construction of ecological city and livable environment. While multitemporal remote sensing images provide strong support for urban green cover monitoring, they often suffer from data shifting, where the
Externí odkaz:
https://doaj.org/article/37c084cee7af486c9d3ca98745b62adb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4653-4666 (2022)
Due to the limitations of current technology and budget, a single satellite sensor cannot obtain high spatiotemporal resolution remote sensing images. Therefore, remote sensing image spatio-temporal fusion technology is considered as an effective sol
Externí odkaz:
https://doaj.org/article/b1d1e7abf9f74dd8a283c3c95d92c399
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 7605-7618 (2022)
Monitoring large areas of the Earth's surface is possible thanks to the availability of remote sensing data obtained by a large collection of diverse satellites orbiting the Earth. Specifically, multitemporal interferometric synthetic aperture radar
Externí odkaz:
https://doaj.org/article/34c770344fb84ea0b86211dfb892754c
Autor:
Hannah C. Turner, Gillian L. Galford, Norgis Hernandez Lopez, Armando Falcón Méndez, Daily Yanetsy Borroto-Escuela, Idania Hernández Ramos, Patricia González-Díaz
Publikováno v:
Remote Sensing, Vol 15, Iss 10, p 2495 (2023)
Mangrove forests provide a range of ecosystem services but may be increasingly threatened by climate change in the North Atlantic due to high-intensity storms. Hurricane Irma (Category 5) hit the northern coast of Cuba in September 2017, causing wide
Externí odkaz:
https://doaj.org/article/a35ba752b6774335bf1be5209e289106
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5571 (2022)
Soil texture is a key soil property driving physical, chemical, biological, and hydrological processes in soils. The rapid development of remote sensing techniques shows great potential for mapping soil properties. This study highlights the effective
Externí odkaz:
https://doaj.org/article/d432a6c566804dad9c3092b0d4eea95b
Publikováno v:
Remote Sensing, Vol 14, Iss 20, p 5124 (2022)
Accurate and efficient individual tree species (ITS) classification is the basis of fine forest resource management. It is a challenge to classify individual tree species in dense forests using remote sensing imagery. In order to solve this problem,
Externí odkaz:
https://doaj.org/article/da1bdc8a6b0b419a9d0c802b6f00f4c0
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 8, p 424 (2022)
Although winter wheat has been mapped by remote sensing in several studies, such mapping efforts did not sufficiently utilize contextual information to reduce the noise and still depended heavily on optical imagery and exhausting classification appro
Externí odkaz:
https://doaj.org/article/b13a2a72f5224638979ba72c6d74a473