Modelling of the biodiversity of tropical forests in China based on unmanned aerial vehicle multispectral and light detection and ranging data

No abstract is available for this paper.

• Publication year

  2021

• Venue

  International Journal of Remote Sensing

• Publication date

  2021-08-25

• Fields of study

  Biology, Computer Science, Environmental Science

• Identifiers
  DOI 10.1080/01431161.2021.1954714
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness

  2020cited by this paper
• Estimation of aboveground biomass of Robinia pseudoacacia forest in the Yellow River Delta based on UAV and Backpack LiDAR point clouds

  2020cited by this paper
• Variation patterns of plant composition/diversity in Dacrydium pectinatum communities and their driving factors in a biodiversity hotspot on Hainan Island, China

  2020cited by this paper
• Determinants of the beta diversity of tree species in tropical forests: Implications for biodiversity conservation.

  2019cited by this paper
• Combining LiDAR and hyperspectral data for aboveground biomass modeling in the Brazilian Amazon using different regression algorithms

  2019cited by this paper
• Tree Species Classification in a Highly Diverse Subtropical Forest Integrating UAV-Based Photogrammetric Point Cloud and Hyperspectral Data

  2019cited by this paper
• Combining high resolution satellite imagery and lidar data to model woody species diversity of tropical dry forests

  2019cited by this paper
• Detecting prairie biodiversity with airborne remote sensing

  2019cited by this paper
• Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

  2018cited by this paper
• Using airborne laser scanning to predict plant species richness and assess conservation threats in the oil sands region of Alberta’s boreal forest

  2018influential reference
• Object-Based Mangrove Species Classification Using Unmanned Aerial Vehicle Hyperspectral Images and Digital Surface Models

  2018cited by this paper
• Mapping multi-scale vascular plant richness in a forest landscape with integrated LiDAR and hyperspectral remote-sensing.

  2018cited by this paper
• The spatial sensitivity of the spectral diversity-biodiversity relationship: an experimental test in a prairie grassland.

  2018cited by this paper
• Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground Biomass in Arid and Semi-Arid Regions of China

  2018cited by this paper
• Estimating forest structural attributes using UAV-LiDAR data in Ginkgo plantations

  2018cited by this paper
• Estimating tree species diversity in the savannah using NDVI and woody canopy cover

  2018cited by this paper
• Real-time Observation Decoding and Positioning Analysis Based on Qianxun BeiDou Ground Based Augmentation System

  2017cited by this paper
• Remote sensing of species diversity using Landsat 8 spectral variables

  2017influential reference
• Spatial-Temporal Dynamics of China's Terrestrial Biodiversity: A Dynamic Habitat Index Diagnostic

  2016cited by this paper
• Random forest in remote sensing: A review of applications and future directions

  2016cited by this paper
• Seasonal Variation in the NDVI-Species Richness Relationship in a Prairie Grassland Experiment (Cedar Creek)

  2016cited by this paper
• Structural complexity and component type increase intertidal biodiversity independently of area.

  2016cited by this paper
• Emerging Technologies to Conserve Biodiversity.

  2015cited by this paper
• Gene Selection for Cancer Classification using Support Vector Machines

  2014cited by this paper
• Choosing and using diversity indices: insights for ecological applications from the German Biodiversity Exploratories

  2014cited by this paper
• Predicting species diversity in agricultural environments using Landsat TM imagery

  2014cited by this paper
• Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass

  2014cited by this paper
• Modeling α- and β-diversity in a tropical forest from remotely sensed and spatial data

  2012cited by this paper
• Plant Species Richness is Associated with Canopy Height and Topography in a Neotropical Forest

  2012cited by this paper
• Classification of savanna tree species, in the Greater Kruger National Park region, by integrating hyperspectral and LiDAR data in a Random Forest data mining environment

  2012influential reference
• Comparison of different vegetation indices for the remote assessment of green leaf area index of crops

  2011cited by this paper
• Impact of spatial variability of tropical forest structure on radar estimation of aboveground biomass

  2011cited by this paper
• Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada

  2010influential reference
• Assessing Plant Diversity in a Dry Tropical Forest: Comparing the Utility of Landsat and Ikonos Satellite Images

  2010cited by this paper
• Scenarios for Global Biodiversity in the 21st Century

  2010cited by this paper
• Does using species abundance data improve estimates of species diversity from remotely sensed spectral heterogeneity

  2010cited by this paper
• Gene selection for cancer classification

  2009cited by this paper
• Remote sensing of vegetation 3-D structure for biodiversity and habitat: Review and implications for lidar and radar spaceborne missions

  2009cited by this paper
• The development of a Canadian dynamic habitat index using multi-temporal satellite estimates of canopy light absorbance

  2008cited by this paper
• Predicting plant diversity based on remote sensing products in the semi-arid region of Inner Mongolia

  2008cited by this paper
• Mapping Russian forest biomass with data from satellites and forest inventories

  2007cited by this paper
• Analysis of plant community characteristics and species diversity of Diaoluo Mountain, Hainan Island

  2007cited by this paper
• Biodiversity: Climate change and the ecologist

  2007cited by this paper
• Effects of spatial and spectral resolution in estimating ecosystem α-diversity by satellite imagery

  2007cited by this paper
• A Mathematical Theory of Communication

  2006cited by this paper
• Forest and woodland stand structural complexity: Its definition and measurement

  2005cited by this paper
• Community structures and species richness in the montane rain forest of Jianfengling, Hainan Island, China

  2004cited by this paper
• Carbon management and biodiversity.

  2003cited by this paper
• Detecting floristic structure and pattern across topographic and moisture gradients in a mixed species Central African forest using IKONOS and Landsat-7 ETM+ images

  2003cited by this paper
• Overview of the radiometric and biophysical performance of the MODIS vegetation indices

  2002cited by this paper
• Interannual variability of NDVI and species richness in Kenya

  2002cited by this paper
• Neotropical bats in the canopy: diversity, community structure, and implications for conservation

  2001cited by this paper
• The Measurement of Diversity

  2001cited by this paper
• REMOTE SENSING OF VEGETATION, PLANT SPECIES RICHNESS, AND REGIONAL BIODIVERSITY HOTSPOTS

  2000cited by this paper
• Global biodiversity scenarios for the year 2100.

  2000cited by this paper

• Leveraging Sentinel-1/2 time series and deep learning for accurate forest tree species mapping

  2025cites this paper
• Mapping tree species diversity in a typical natural secondary forest by combining multispectral and LiDAR data

  2024cites this paper
• Monitoring the Net Primary Productivity of Togo’s Ecosystems in Relation to Changes in Precipitation and Temperature

  2024cites this paper
• UAV Quantitative Remote Sensing of Riparian Zone Vegetation for River and Lake Health Assessment: A Review

  2024cites this paper
• Using unmanned aerial vehicle multispectral data for monitoring the outcomes of ecological restoration in mining areas

  2023cites this paper
• How have RPAS helped monitor forests and what can we apply in forest restoration monitoring?

  2023cites this paper