Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Andrew Skidmore"'
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 17, Iss 6, p e0011398 (2023)
Controlling tsetse flies is critical for effective management of African trypanosomiasis in Sub-Saharan Africa. To enhance timely and targeted deployment of tsetse control strategies a better understanding of their temporal dynamics is paramount. A f
Externí odkaz:
https://doaj.org/article/11f13f84481c46debaf0118d8f2f171d
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4797 (2023)
Convolutional neural networks (CNNs) have recently been demonstrated to be able to substantially improve the land cover classification accuracy of hyperspectral images. Meanwhile, the rapidly developing capacity for satellite and airborne image spect
Externí odkaz:
https://doaj.org/article/a19708d4640f4d2c8982edf36e163ca1
Publikováno v:
Parasites & Vectors, Vol 14, Iss 1, Pp 1-18 (2021)
Abstract Background African trypanosomiasis, which is mainly transmitted by tsetse flies (Glossina spp.), is a threat to public health and a significant hindrance to animal production. Tools that can reduce tsetse densities and interrupt disease tran
Externí odkaz:
https://doaj.org/article/c81901f423fb4620b02f4b34713ed17c
Publikováno v:
International Journal of Digital Earth, Vol 14, Iss 1, Pp 106-120 (2021)
Assessment of vegetation biochemical and biophysical variables is useful when developing indicators for biodiversity monitoring and climate change studies. Here, we compared a radiative transfer model (RTM) inversion by merit function and five machin
Externí odkaz:
https://doaj.org/article/ea8625b38ff242a1a62942284472f3f7
Publikováno v:
Remote Sensing, Vol 15, Iss 7, p 1734 (2023)
The Australian ‘New South Wales Estuary health assessment and biodiversity monitoring program’ has set state-wide targets for estuary health. A selection of water bodies is being monitored by in situ chlorophyll a concentration and turbidity meas
Externí odkaz:
https://doaj.org/article/b54d42193b514cb5811d932c2ae9e72c
Autor:
Samuel Hislop, Simon Jones, Mariela Soto‐Berelov, Andrew Skidmore, Andrew Haywood, Trung H. Nguyen
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 5, Iss 4, Pp 376-388 (2019)
Abstract Across the world, millions of hectares of forest are burned by wildfires each year. Satellite remote sensing, particularly when used in time series, can describe complex disturbance‐recovery processes, but is underutilized by ecologists. T
Externí odkaz:
https://doaj.org/article/326e38d901f34dcc8a0eac1d03834669
Publikováno v:
Journal of Fungi, Vol 8, Iss 9, p 981 (2022)
Fungi are a hyper-diverse kingdom that contributes significantly to the regulation of the global carbon and nutrient cycle. However, our understanding of the distribution of fungal diversity is often hindered by a lack of data, especially on a large
Externí odkaz:
https://doaj.org/article/92543054916a4eda8ba42e3e25742cbb
Autor:
Thuy Thi Phuong Vu, Tien Dat Pham, Neil Saintilan, Andrew Skidmore, Hung Viet Luu, Quang Hien Vu, Nga Nhu Le, Huu Quang Nguyen, Bunkei Matsushita
Publikováno v:
Remote Sensing, Vol 14, Iss 18, p 4664 (2022)
A pixel-based algorithm for multi-temporal Landsat (TM/ETM+/OLI/OLI-2) imagery between 1990 and 2022 monitored mangrove dynamics and detected their changes in the three provinces (i.e., Thai Binh, Nam Dinh and Hai Phong), which are located on the Nor
Externí odkaz:
https://doaj.org/article/9e603452b5fd47098ec38302187e9130
Autor:
Yi-Wei Zhang, Tiejun Wang, Yanpei Guo, Andrew Skidmore, Zhenhua Zhang, Rong Tang, Shanshan Song, Zhiyao Tang
Publikováno v:
Remote Sensing, Vol 14, Iss 14, p 3399 (2022)
Plant functional traits at the community level (plant community traits hereafter) are commonly used in trait-based ecology for the study of vegetation–environment relationships. Previous studies have shown that a variety of plant functional traits
Externí odkaz:
https://doaj.org/article/a9ee176e9bbd4e57a54d7720bdfa7c00
Publikováno v:
International Journal of Digital Earth, Vol 12, Iss 9, Pp 1030-1045 (2019)
A vital component of fire detection from remote sensors is the accurate estimation of the background temperature of an area in fire's absence, assisting in identification and attribution of fire activity. New geostationary sensors increase the data a
Externí odkaz:
https://doaj.org/article/a48c6b3c74b9452b8c82cf55843f3340