Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Muditha K. Heenkenda"'
Publikováno v:
Crops, Vol 4, Iss 3, Pp 333-347 (2024)
Sugarcane suffers from the increased frequency and severity of droughts and floods, negatively affecting growing conditions. Climate change has affected cultivation, and the growth dynamics have changed over the years. The identification of the devel
Externí odkaz:
https://doaj.org/article/9676946afba8497e973beb13ef49a9de
Publikováno v:
Crops, Vol 4, Iss 2, Pp 115-133 (2024)
Remote sensing technology currently facilitates the monitoring of crop development, enabling detailed analysis and monitoring throughout the crop’s growing stages. This research analyzed the winter wheat growth dynamics of experimental plots at the
Externí odkaz:
https://doaj.org/article/a0ec30978bbc4a9ab9016cd4098ded66
Publikováno v:
Canadian Journal of Remote Sensing, Vol 50, Iss 1 (2024)
Traditional Diameter at Breast Height (DBH) mensuration is labor-intensive and costly. This scoping study explored the possibility of using the Apple iPad Pro Light Detection And Ranging (LiDAR) sensor to estimate DBH. Three plots were scanned in a r
Externí odkaz:
https://doaj.org/article/fa264c3152304981acc3c665da4b2a6f
Publikováno v:
Land, Vol 13, Iss 5, p 611 (2024)
This study aimed to develop a remote sensing method for estimating the aboveground fresh weight (AGFW) of sugarcane using multispectral images and light detection and ranging (LiDAR). Remotely sensed data were acquired from an unmanned aerial vehicle
Externí odkaz:
https://doaj.org/article/84e23ba1780148949e78a3c6237844a3
Publikováno v:
Forests, Vol 15, Iss 1, p 214 (2024)
The aim of this study was to determine whether the iPad Pro 12th generation LiDAR sensor is useful to measure tree diameter at breast height (DBH) in natural boreal forests. This is a follow-up to a previous study that was conducted in a research for
Externí odkaz:
https://doaj.org/article/b47bf2b810704199860457221d20d5c2
Publikováno v:
Remote Sensing, Vol 15, Iss 11, p 2888 (2023)
Remote sensing Vegetation Indices (VIs) are simple, effective, and widely used methods for quantitative and qualitative analysis of vegetation cover, vigor, and growth dynamics. This study developed and assessed a new vegetation index (VI) using Cyan
Externí odkaz:
https://doaj.org/article/95ce91edda0b48388d0588496bb34a0a
Publikováno v:
Remote Sensing, Vol 6, Iss 7, Pp 6064-6088 (2014)
Remote sensing plays a critical role in mapping and monitoring mangroves. Aerial photographs and visual image interpretation techniques have historically been known to be the most common approach for mapping mangroves and species discrimination. Howe
Externí odkaz:
https://doaj.org/article/8b5bbebd6aad4c5db37ee9c009709dfb
Publikováno v:
Journal of Imaging, Vol 2, Iss 3, p 24 (2016)
Mangroves are one of the most productive coastal communities in the world. Although we acknowledge the significance of ecosystems, mangroves are under natural and anthropogenic pressures at various scales. Therefore, understanding biophysical variati
Externí odkaz:
https://doaj.org/article/c6da48c572354ccca66e8bc167de796f
Publikováno v:
Remote Sensing; Volume 15; Issue 11; Pages: 2888
Remote sensing Vegetation Indices (VIs) are simple, effective, and widely used methods for quantitative and qualitative analysis of vegetation cover, vigor, and growth dynamics. This study developed and assessed a new vegetation index (VI) using Cyan
Autor:
Valeria Campos Carrillo, Muditha K. Heenkenda, Reg Nelson, Tarlok Singh Sahota, Laura Segura Serrano
Publikováno v:
Journal of Applied Remote Sensing. 16