Zhiliang Zhu, Ph.D. (Former Employee)
Science and Products
Filter Total Items: 94
Development of time series stacks of Landsat images for reconstructing forest disturbance history Development of time series stacks of Landsat images for reconstructing forest disturbance history
Forest dynamics is highly relevant to a broad range of earth science studies, many of which have geographic coverage ranging from regional to global scales. While the temporally dense Landsat acquisitions available in many regions provide a unique opportunity for understanding forest disturbance history dating back to 1972, large quantities of Landsat images will need to be analysed for...
Authors
C. Huang, Samuel N. Goward, Jeffery G. Masek, Feng Gao, E. F. Vermote, Karen Schleeweis, Robert E. Kennedy, Zhiliang Zhu, Jeffery C. Eidenshink, J.R.G. Townshend
Monitoring forest changes in the southwestern United States using multitemporal Landsat data Monitoring forest changes in the southwestern United States using multitemporal Landsat data
Landsat time series data sets were acquired for the Santa Fe National Forest in New Mexico. This area includes the San Pedro Parks Wilderness area, which was designated as an official wilderness in 1964. Eight autumnal Landsat Thematic Mapper (TM) scenes acquired from 1988 to 2006 were analyzed to determine whether significant changes have occurred throughout the region during the past...
Authors
James E. Vogelmann, Brian L. Tolk, Zhiliang Zhu
Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model
Forest change is of great concern for land use decision makers and conservation communities. Quantitative and spatial forest change information is critical for addressing many pressing issues, including global climate change, carbon budgets, and sustainability. In this study, our analysis focuses on the differences in geospatial patterns and their changes between federal forests and...
Authors
Mingshi Li, Chengquan Huang, Zhiliang Zhu, Hua Shi, Heng Lu, Shikui Peng
Soil sail content estimation in the Yellow River delta with satellite hyperspectral data Soil sail content estimation in the Yellow River delta with satellite hyperspectral data
Soil salinization is one of the most common land degradation processes and is a severe environmental hazard. The primary objective of this study is to investigate the potential of predicting salt content in soils with hyperspectral data acquired with EO-1 Hyperion. Both partial least-squares regression (PLSR) and conventional multiple linear regression (MLR), such as stepwise regression...
Authors
Yongling Weng, Peng Gong, Zhi-Liang Zhu
Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project
Canopy and surface fuels in many fire-prone forests of the United States have increased over the last 70 years as a result of modern fire exclusion policies, grazing, and other land management activities. The Healthy Forest Restoration Act and National Fire Plan establish a national commitment to reduce fire hazard and restore fire-adapted ecosystems across the USA. The primary index...
Authors
Robert E. Keane, Matthew Rollins, Zhi-Liang Zhu
An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin
Background Wildfires are an increasingly important component of the forces that drive the global carbon (C) cycle and climate change as progressive warming is expected in boreal areas. This study estimated C emissions from the wildfires across the Alaskan Yukon River Basin in 2004. We spatially related the firescars to land cover types and defined the C fractions of aboveground biomass...
Authors
Zhengxi Tan, Larry L. Tieszen, Zhiliang Zhu, Shuguang Liu, Stephen M. Howard
Science and Products
Filter Total Items: 94
Development of time series stacks of Landsat images for reconstructing forest disturbance history Development of time series stacks of Landsat images for reconstructing forest disturbance history
Forest dynamics is highly relevant to a broad range of earth science studies, many of which have geographic coverage ranging from regional to global scales. While the temporally dense Landsat acquisitions available in many regions provide a unique opportunity for understanding forest disturbance history dating back to 1972, large quantities of Landsat images will need to be analysed for...
Authors
C. Huang, Samuel N. Goward, Jeffery G. Masek, Feng Gao, E. F. Vermote, Karen Schleeweis, Robert E. Kennedy, Zhiliang Zhu, Jeffery C. Eidenshink, J.R.G. Townshend
Monitoring forest changes in the southwestern United States using multitemporal Landsat data Monitoring forest changes in the southwestern United States using multitemporal Landsat data
Landsat time series data sets were acquired for the Santa Fe National Forest in New Mexico. This area includes the San Pedro Parks Wilderness area, which was designated as an official wilderness in 1964. Eight autumnal Landsat Thematic Mapper (TM) scenes acquired from 1988 to 2006 were analyzed to determine whether significant changes have occurred throughout the region during the past...
Authors
James E. Vogelmann, Brian L. Tolk, Zhiliang Zhu
Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model Assessing rates of forest change and fragmentation in Alabama, USA, using the vegetation change tracker model
Forest change is of great concern for land use decision makers and conservation communities. Quantitative and spatial forest change information is critical for addressing many pressing issues, including global climate change, carbon budgets, and sustainability. In this study, our analysis focuses on the differences in geospatial patterns and their changes between federal forests and...
Authors
Mingshi Li, Chengquan Huang, Zhiliang Zhu, Hua Shi, Heng Lu, Shikui Peng
Soil sail content estimation in the Yellow River delta with satellite hyperspectral data Soil sail content estimation in the Yellow River delta with satellite hyperspectral data
Soil salinization is one of the most common land degradation processes and is a severe environmental hazard. The primary objective of this study is to investigate the potential of predicting salt content in soils with hyperspectral data acquired with EO-1 Hyperion. Both partial least-squares regression (PLSR) and conventional multiple linear regression (MLR), such as stepwise regression...
Authors
Yongling Weng, Peng Gong, Zhi-Liang Zhu
Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project Using simulated historical time series to prioritize fuel treatments on landscapes across the United States: The LANDFIRE prototype project
Canopy and surface fuels in many fire-prone forests of the United States have increased over the last 70 years as a result of modern fire exclusion policies, grazing, and other land management activities. The Healthy Forest Restoration Act and National Fire Plan establish a national commitment to reduce fire hazard and restore fire-adapted ecosystems across the USA. The primary index...
Authors
Robert E. Keane, Matthew Rollins, Zhi-Liang Zhu
An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin
Background Wildfires are an increasingly important component of the forces that drive the global carbon (C) cycle and climate change as progressive warming is expected in boreal areas. This study estimated C emissions from the wildfires across the Alaskan Yukon River Basin in 2004. We spatially related the firescars to land cover types and defined the C fractions of aboveground biomass...
Authors
Zhengxi Tan, Larry L. Tieszen, Zhiliang Zhu, Shuguang Liu, Stephen M. Howard