Zobrazeno 1 - 10
of 98
pro vyhledávání: '"John R. Dymond"'
Publikováno v:
Science of Remote Sensing, Vol 9, Iss , Pp 100136- (2024)
The reflectance of land and vegetation observed in satellite imagery depends on sun and viewing geometry. This bidirectional reflectance requires correction for monitoring changes in vegetation cover and condition. We used a digital camera mounted in
Externí odkaz:
https://doaj.org/article/5c51fdde97de45e683becc6e76ebc9a5
Autor:
Yanmin Jiang, Haijing Shi, Zhongming Wen, Xihua Yang, Youfu Wu, Li Li, Yuxin Ma, John R. Dymond, Minghang Guo, Junfeng Shui, Hong Hu
Publikováno v:
Forests, Vol 15, Iss 8, p 1455 (2024)
Flash drought (FD) has attracted much attention due to its severe stress on vegetation ecosystems. Yet to date, the impacts of FD on vegetation ecosystems in different regions have not been fully evaluated and explored, especially for ecologically fr
Externí odkaz:
https://doaj.org/article/ffe67291775640a4a0d4913a64f725e7
Autor:
John R. Dymond, Adam J. Daigneault, Olivia R. Burge, Chris C. Tanner, Fiona E. Carswell, Suzie Greenhalgh, Anne-Gaelle E. Ausseil, Norman W. H. Mason, Beverley R. Clarkson
Publikováno v:
Land, Vol 12, Iss 8, p 1482 (2023)
Much land has been cleared of indigenous forest for pastoral agriculture worldwide. In New Zealand, the clearance of indigenous forest on hill country has resulted in high food production, but waterways have become turbid, with high nutrient and E. c
Externí odkaz:
https://doaj.org/article/07d9eb16651f469d91ff69c616d5ed8a
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102408- (2021)
Characterisation of native forests is essential for sustainable forest management and for maintenance of ecological and socio-economical functions. In New Zealand, knowledge of forest composition and extent informs predator control measures to protec
Externí odkaz:
https://doaj.org/article/0c1bbef0da3a4ccfac9fc43fc91ea666
Publikováno v:
Remote Sensing, Vol 14, Iss 7, p 1573 (2022)
The southern beech (genus Fuscospora and Lophozonia) forest in New Zealand periodically has “mast” years, during which very large volumes of seeds are produced. This excessive seed production results in a population explosion of rodents and muste
Externí odkaz:
https://doaj.org/article/97d920cc61224b51bdc95dd108c64dfe
Autor:
Alexander C. Amies, John R. Dymond, James D. Shepherd, David Pairman, Coby Hoogendoorn, Marmar Sabetizade, Stella E. Belliss
Publikováno v:
Remote Sensing, Vol 13, Iss 8, p 1481 (2021)
A national map of pasture productivity, in terms of mass of dry matter yield per unit area and time, enables evaluation of regional and local land-use suitability. Difficulty in measuring this quantity at scale directed this research, which utilises
Externí odkaz:
https://doaj.org/article/d6d6a0f0656c43c993b730938f187504
Publikováno v:
Remote Sensing, Vol 12, Iss 22, p 3680 (2020)
Repeat frequencies of optical remote sensing satellites have been increasing over the last 40 years, but there is still dependence on clear skies to acquire usable imagery. To increase the quality of data, composited mosaics of satellite imagery can
Externí odkaz:
https://doaj.org/article/d909359bff8547f4989b8e155eca4621
Publikováno v:
Remote Sensing, Vol 12, Iss 12, p 1906 (2020)
New Zealand kauri trees are threatened by the kauri dieback disease (Phytophthora agathidicida (PA)). In this study, we investigate the use of pan-sharpened WorldView-2 (WV2) satellite and Light Detection and Ranging (LiDAR) data for detecting stress
Externí odkaz:
https://doaj.org/article/1e4777362c91406c813b6ebb2dc19612
Autor:
John R. Dymond, Jan Zörner, James D. Shepherd, Susan K. Wiser, David Pairman, Marmar Sabetizade
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1911 (2019)
Indigenous forests cover 24% of New Zealand and provide valuable ecosystem services. However, a national map of forest types, that is, physiognomic types, which would benefit conservation management, does not currently exist at an appropriate level o
Externí odkaz:
https://doaj.org/article/482ecdea0ff6427ba98a03bb825eac86
Publikováno v:
Remote Sensing, Vol 11, Iss 6, p 658 (2019)
Image classification and interpretation are greatly aided through the use of image segmentation. Within the field of environmental remote sensing, image segmentation aims to identify regions of unique or dominant ground cover from their attributes su
Externí odkaz:
https://doaj.org/article/5f349eeefd2f4d798821acee4be2c04f