Research
Geographic One-class Data: Methods & Applications
Geographic One-class Data: Methods & Applications We are interested in the theory and applications of geographic one-class data. One common
Development of near-surface remote sensing platforms
Development of near-surface remote sensing platforms for forest resource information acquisition Light detection and ranging (lidar), an active remote sensing
3D Forest Structure: Parameter Extraction & Upscaling
3D forest structure parameter extraction and upscaling Individual trees are the basic element composition of a forest stand. The structure
Spatial & Temporal Monitoring: Forest Resource Analysis
Monitoring and analyzing the spatial and temporal changes of forest resource information Changes of forest quality are composed by the
High-throughput Crop Phenotyping: Development & Application
Development and application of high-throughput crop phenotyping platform Phenomics studies the external performance of crop traits under the interaction of
Mapping the new generation Vegetation Map of China
Vegetation maps provide crucial information for ecological studies, biodiversity conservation, vegetation management and restoration, and national strategic decision making. The
Intelligent Driving: Essential Tech Research & Development
Environmental perception and high-precision positioning are the core research contents of self-driving. These factors help cars obtain accurate real-time positioning
Animal 3D Ecology: Ecosystem Structure Reconstruction & Application
Knowledges about processing of interactions within organisms, between organisms and environment form bedrock of understanding how ecosystem organized. Interactions in
- The development of new forest inventory method through the integration of multi-source near-surface remote sensing data, 2020-2023, PI: Qinghua Guo, National Natural Science Foundation of China, 2020.
- Remote sensing of vegetation and changes in biodiversity, 2018-2022, PI: Qinghua Guo, Strategic Priority Research Program of Chinese Academy of Sciences.
Previous Projects
- The development of referencing dataset for ecosystem assessment through the integration of terrestrial and near-surface remote sensing, 2016–2020, PI: Qinghua Guo, National Key R&D Program of China.
- The extraction of fine forest structure parameters and the analysis of the pattern in their intrinsic variations, 2016–2020, PI: Qinghua Guo, Chinese Academy of Sciences.
- Grassland resources inventory in core demonstration area of Hulunbuir, China, 2017-2018, PI: Qinghua Guo, Chinese Academy of Sciences.
- Extracting forest structural parameters and modeling 3D landscape from T-LiDAR, 2015-2018, PI: Qinghua Guo, National Natural Science Foundation of China.
- The development of automatic, high-resolution, high-throughput 3D plant image analysis system (Plant 3D), 2015-2016, PI: Qinghua Guo, Instrument Developing Project of the Chinese Academy of Sciences.
- The development of non-destructive and high-throughput crop 3D phenotyping technology, 2013.08–2017.07, PI: Qinghua Guo, Strategic Priority Research Program of Chinese Academy of Sciences.
- The analysis of feedback effect and sensitivity of climatic change on the carbon cycle of the earth system, 2013–2017, PI: Qinghua Guo, National Key R&D Program of China.
- Effect of Uncertainty on Species Distributions Under Climate Change, 2012-2016, PI: Qinghua Guo, National Natural Science Foundation of China.
- 1000 Youth Talents Plan of China, 2012-2016, PI: Qinghua Guo, Organization Department of the CPC Central Committee.
- Using LIDAR and DOQQs to Map Forest Vegetation for Assessing Wildlife Habitat. PI: Qinghua Guo. 2014-2015. USFS.
- The analysis of feedback effect and sensitivity of climatic change on the carbon cycle of the earth system, 2013–2017, PI: Qinghua Guo, National Program on Key Basic Research Project.
- Using LIDAR and DOQQs to Map Forest Vegetation for Assessing Wildlife Habitat. PI: Qinghua Guo. 2014-2015. USFS.
- Forest3D - an open source platform for Lidar applications in forestry. PI, Qinghua Guo 2014-2016. NSF.
- WSC Category 3: Propogating Climate-Driven Changes in Hydrologic Processes and Ecosystem Functions across Extreme Biophysical and Anthropogenic Gradients. PI Thomas Harmon, co-PI. Qinghua Guo, Yihsu Chen, Andres Aguilar. 2012 - 2015. NSF.
- Vulnerability of Giant Sequoia to Moisture Stress in a Changing Climate, UCM PI Qinghua Guo, Co-PI, Roger Bales. National Park Service. Sept. 2011 - Jan. 2013.
- Sierra Nevada Adaptive Management and Monitoring, May 2012 – June 2013, PI of UCM spatial team. Qinghua Guo. USFS/DWR.
- Assessing vulnerability of tree-line ecosystems in the Sierra Nevada: synthesis of basic inventory data to inform vital signs monitoring. PI, USGS. Sept. 2011 – Dec. 2012.
- Pwning Asthma Triggers: Health Games as Technologies of Social Engagement, PI Greg Niemeyer, Co-PIs, James Holston, Inez Fung, Qinghua Guo. 2011-2012. CITRIS.
- Doctoral Dissertation Research: The Development and Integration of Spatial Analyses for Search and Rescue Operations in Yosemite National Park, PI Qinghua Guo, Co-PI Paul Doherty. 2010 – 2012, NSF.
- Sierra Nevada Research Institute Informatics and Data Visualization Center in Yosemite National Park, PI Eric Berlow, Co-PIs: Carolin Frank, Qinghua Guo, Thomas Harmon, Roger Bales. 2010 – 2012, NSF.
- Can mammals mediate climatically-induced vegetation transitions in alpine ecosystems of the western United States. PI Klinger Robert, Qinghua Guo’s portion. 2010 – 2013. USGS.
- Sierra Nevada Adaptive Management and Monitoring, 2009 – 2011, PI of UCM spatial team. Qinghua Guo. USFS/DWR.
- MRI: Development of ASSIST: Affordable System for Solar Irrdiance and Tracking, PI Alberto Cerpa, Co-PIs, Carlos Coimbra, Qinghua Guo. 2009 – 2012. NSF.
- Acquiring airborne LiDAR data to study hydrologic, geomorphologic, and geochemical processes at three Critical Zone Observatories (CZOs). PI Qinghua Guo, Co-PIs, Roger Bales, Suzanne Anderson, Chris Duffy. 2009 – 2012. NSF.
- WATERS Network: Observing and Predicting Freshwater Eutrophication-Algal Bloom Dynamics Using Local Hyperspectral Imaging. PI Thomas Harmon, Co-PI, Qinghua Guo. 2009–2012. NSF.
- Learning from Presence-Only Data, with Application in Cyber Security and Ecology. PI Charles Elkan, Co-PIs, Qinghua Guo, Tina Eliassi-Rad. 2009–2011. The UC Lab Research Program.
- ModelEco: an Integrated Software for Species Data Analysis and Modeling, 2008 – 2011, PI. Qinghua Guo. NSF.
- Mapping California Solar Irradiance and its Implications for Power Sector, California Energy Institute. 2008 – 2009. PI Qinghua Guo, Co-PIs, Yishu Chen and Carlso Coimbra. California Energy Insitute.
- The Solar Irradiance Mapping Initiative (SIMI), 2007–2008, PI Carlso Coimbra, Co-PIs: Qinghua Guo, Jean-Pierre Deplanque. The Center for Information Technology Research (CITRIS).
- Sierra Nevada Adaptive Management and Monitoring, 2007 – 2008, PI of UCM spatial team. Qinghua Guo. USFS/DWR.
- Development of Historical Ecological Web Databases. 2007 – 2008, PI. Qinghua Guo. USDA.
- REU Site: Summer Yosemite Research Training in Environmental Science, 2007-2011. PI. Dayrat, Benoit, Qinghua Guo (senior personnel, mentor), NSF
- Statistically Downscaling General Circulation Model Products. 2007 – 2008. PI. Qinghua Guo. California Academy of Science.
- Modelling of a New Invasive Forest Disease: Refining Models Using Remote Sensing Products and Nested Models. 2006 – 2007, PI, Qinghua Guo, Graduate and Research Council (GRC) Faculty Research Grants, University of California at Merced.
- Faculty Development Awards. 2006–2007, PI, Qinghua Guo, University of California at Merced.
- Biogeomancer: Enhancing Diversity Science Through Efficient and Effective Georeferencing. 2005 – 2007, PI, Qinghua Guo. The Gordon & Betty Moore Foundation.
- Sierra Nevada Adaptive Management and Monitoring. 2005 – 2006, PI, Roger Bales, Co-PIs: Qinghua Guo, and Martha Conklin. USFS/USDA.
- Integrated Measurement and Modeling of Sierra Nevada Water Budgets. 2006 – 2008, PI, Roger Bales, Co-PIs: Qinghua Guo, Martha Conklin, and Thomas Harmon, Lawrence Livermore National Laboratory.