Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Izaya Numata"'
Autor:
Duo Jia, Cangjiao Wang, Christopher R. Hakkenberg, Izaya Numata, Andrew J. Elmore, Mark A. Cochrane
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
ABSTRACTThe Global Ecosystem Dynamics Investigation (GEDI) is expected to revolutionize the quantification of aboveground carbon at continental scales, through its unprecedented dense vertical observations of vegetation structure. As its primary task
Externí odkaz:
https://doaj.org/article/f2eed9032a5f476eb4d29dc55f8f9c0d
Autor:
Cangjiao Wang, Andrew J. Elmore, Izaya Numata, Mark A. Cochrane, Lei Shaogang, Jiu Huang, Yibo Zhao, Yuanyuan Li
Publikováno v:
GIScience & Remote Sensing, Vol 59, Iss 1, Pp 975-999 (2022)
The Global Ecosystem Dynamics Investigation (GEDI), a new spaceborne LiDAR system of the National Aeronautics and Space Administration (NASA), has the potential to revolutionize global measurements of vertical vegetation structure. However, GEDI perf
Externí odkaz:
https://doaj.org/article/58bcaf4ed92244bda6de225b4c758eec
Autor:
Michael C. Wimberly, Francis K. Dwomoh, Izaya Numata, Foster Mensah, Jacob Amoako, Dawn M. Nekorchuk, Andrea McMahon
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 30-51 (2022)
The Upper Guinean Forest region of West Africa, a globally significant biodiversity hotspot, is among the driest and most human-impacted tropical ecosystems. We used Landsat to study forest degradation, loss, and recovery in the forest reserves of Gh
Externí odkaz:
https://doaj.org/article/d6d6e55ddaac45e29d834b83f946b431
Autor:
Nadeem Fareed, Anup Kumar Das, Joao Paulo Flores, Jitin Jose Mathew, Taofeek Mukaila, Izaya Numata, Ubaid Ur Rehman Janjua
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 699 (2024)
Information on a crop’s three-dimensional (3D) structure is important for plant phenotyping and precision agriculture (PA). Currently, light detection and ranging (LiDAR) has been proven to be the most effective tool for crop 3D characterization in
Externí odkaz:
https://doaj.org/article/8675c75cd05d49da82238825eda41166
Publikováno v:
Remote Sensing, Vol 15, Iss 6, p 1535 (2023)
The leaf area index (LAI) is a vital parameter for quantifying the material and energy exchange between terrestrial ecosystems and the atmosphere. The Global Ecosystem Dynamics Investigation (GEDI), with its mission to produce a near-global map of fo
Externí odkaz:
https://doaj.org/article/c6b5820ac18d455aa484dff72893708b
Autor:
Cangjiao Wang, Andrew J. Elmore, Izaya Numata, Mark A. Cochrane, Shaogang Lei, Christopher R. Hakkenberg, Yuanyuan Li, Yibo Zhao, Yu Tian
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3618 (2022)
Spatially continuous canopy height is a vital input for modeling forest structures and functioning. The global ecosystem dynamics investigation (GEDI) waveform can penetrate a canopy to precisely find the ground and measure canopy height, but it is s
Externí odkaz:
https://doaj.org/article/f67292c037514d98a314f2f365f0312a
Publikováno v:
Environmental Research Letters, Vol 17, Iss 9, p 094024 (2022)
The expansion of plantations, such as oil palm, in Indonesia has caused large-scale deforestation. Loss of tropical forest, in particular peatland forest, is a major ecological and environmental threat as well as a source of atmospheric carbon emissi
Externí odkaz:
https://doaj.org/article/dc6b41ea1bcf482a8a5710a3b781e0a4
Autor:
Jing Zhao, Janice Ser Huay Lee, Andrew J Elmore, Yuti Ariani Fatimah, Izaya Numata, Xin Zhang, Mark A Cochrane
Publikováno v:
Environmental Research Letters, Vol 17, Iss 4, p 044015 (2022)
Protecting the tropical peat swamp forests in Southeast Asia is critical for addressing global sustainability challenges such as climate change and biodiversity loss. However, more than half of these forests have been lost since 1990 due to the rapid
Externí odkaz:
https://doaj.org/article/cf0fe298a2ec43bdaa089c03bbdba23e
Autor:
Philip E. Dennison, Yi Qi, Susan K. Meerdink, Raymond F. Kokaly, David R. Thompson, Craig S. T. Daughtry, Miguel Quemada, Dar A. Roberts, Paul D. Gader, Erin B. Wetherley, Izaya Numata, Keely L. Roth
Publikováno v:
Remote Sensing, Vol 11, Iss 18, p 2072 (2019)
Remotely sensed data can be used to model the fractional cover of green vegetation (GV), non-photosynthetic vegetation (NPV), and soil in natural and agricultural ecosystems. NPV and soil cover are difficult to estimate accurately since absorption by
Externí odkaz:
https://doaj.org/article/e6097264c01d497994fe58c53b82101a
Publikováno v:
Remote Sensing, Vol 9, Iss 7, p 706 (2017)
Although seasonal and temporal variations in evapotranspiration (ET) in Amazonia have been studied based upon flux-tower data and coarse resolution satellite-based models, ET dynamics over human-impacted landscapes are highly uncertain in this region
Externí odkaz:
https://doaj.org/article/a4f5442811874569a9806cdcd12e2acd