4.7 Article

Estimating Rangeland Fine Fuel Biomass in Western Texas Using High-Resolution Aerial Imagery and Machine Learning

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

Monitoring Climate Impacts on Annual Forage Production across US Semi-Arid Grasslands

Marketa Podebradska et al.

Summary: This study validates the applicability of the ecosystem performance approach for assessing climate impacts on forage production in semi-arid grasslands. By developing the Expected Ecosystem Performance (EEP) model, changes in seasonal climate and long-term growth variability can be captured, providing timely assessments of forage production.

REMOTE SENSING (2022)

Article Environmental Sciences

The impacts of wildfires of different burn severities on vegetation structure across the western United States rangelands

Zheng Li et al.

Summary: This study assessed the impacts of large wildfires on rangeland fractional cover in western US, and found that high severity wildfires led to the greatest decrease in cover for all plant functional types, while woody types were more affected than herbaceous types. Furthermore, there were correlations between prefire soil moisture conditions and changes in vegetation cover.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Ecology

Advancing Fire Ecology in 21st Century Rangelands

Dirac Twidwell et al.

Summary: This article discusses the history and importance of fire ecology in rangelands, introduces a new framework for understanding the variability in fire regimes, and explores different social-ecological fire eras in the Great Plains of North America. It points out that experimental fire conditions have not fully explored the changes in fire regime components shaping rangeland vegetation, while some scientific studies have made significant advancements.

RANGELAND ECOLOGY & MANAGEMENT (2021)

Article Biodiversity Conservation

A novel UAV-based approach for biomass prediction and grassland structure assessment in coastal meadows

M. Villoslada Pecina et al.

Summary: This study accurately predicted above-ground biomass in coastal meadows using UAV-derived datasets, and assessed grassland structural heterogeneity. The results suggest that continuous, monospecific grazing management may simplify grassland structure, reducing the supply of certain ecosystem services.

ECOLOGICAL INDICATORS (2021)

Article Remote Sensing

Using Sentinel-2 and canopy height models to derive a landscape-level biomass map covering multiple vegetation types

Fabian Ewald Fassnacht et al.

Summary: The study presents a workflow for deriving landscape-level biomass estimates in a large watershed, combining various remote sensing data, feature selection, and machine learning techniques to estimate biomass for different vegetation types. The results show that the workflow yields biomass predictions comparable to studies focusing on individual vegetation types.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Article Environmental Sciences

Estimating Aboveground Biomass Using Sentinel-2 MSI Data and Ensemble Algorithms for Grassland in the Shengjin Lake Wetland, China

Chunhua Li et al.

Summary: This study demonstrated that the use of Sentinel-2 MSI and two ensemble algorithms is an effective method for long-term dynamic monitoring and assessment of grass AGB in seasonal floodplain wetlands, with XGBoost algorithm performing the best in modeling.

REMOTE SENSING (2021)

Article Environmental Sciences

Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing

Yichao Tian et al.

Summary: Based on UAV low altitude remote sensing, eight ML models were used to estimate the aboveground biomass of different mangrove species in Beibu Gulf. The XGBoost model had the highest accuracy, with mangrove texture index being the most important variable in the model.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Environmental Sciences

Spatio-Temporal Variation Characteristics of Aboveground Biomass in the Headwater of the Yellow River Based on Machine Learning

Rong Tang et al.

Summary: By using machine learning algorithms to construct a random forest model, this study investigated the temporal and spatial distribution characteristics and dynamic trends of grassland biomass in the Headwater of the Yellow River. The research results indicate that there are significant spatial variations in aboveground biomass in the region, with the majority of areas showing an increasing trend.

REMOTE SENSING (2021)

Article Environmental Sciences

Satellite-Derived Estimation of Grassland Aboveground Biomass in the Three-River Headwaters Region of China during 1982-2018

Ruiyang Yu et al.

Summary: This study estimated the spatiotemporal variation in aboveground biomass (AGB) of grasslands in the Three-River Headwaters Region of China from 1982 to 2018 using remote sensing and ground observation data. The results showed an overall increasing trend in grassland AGB, which could be attributed to vegetation greening and increased precipitation.

REMOTE SENSING (2021)

Article Remote Sensing

Estimating natural grassland biomass by vegetation indices using Sentinel 2 remote sensing data

Marildo Guerini Filho et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2020)

Article Environmental Sciences

Above-ground biomass mapping in West African dryland forest using Sentinel-1 and 2 datasets - A case study

Gerald Forkuor et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Environmental Sciences

Estimating biomass of savanna grasslands as a proxy of carbon stock using multispectral remote sensing

Lazarus Chapungu et al.

REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT (2020)

Article Environmental Sciences

Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System

Adrien Michez et al.

REMOTE SENSING (2019)

Article Environmental Sciences

Modeling tropical montane forest biomass, productivity and canopy traits with multispectral remote sensing data

Christine I. B. Wallis et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Biodiversity Conservation

Estimating grassland aboveground biomass on the Tibetan Plateau using a random forest algorithm

Na Zeng et al.

ECOLOGICAL INDICATORS (2019)

Article Environmental Sciences

Rangeland Productivity Partitioned to Sub-Pixel Plant Functional Types

Nathaniel P. Robinson et al.

REMOTE SENSING (2019)

Article Geography, Physical

Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images

Jie Wang et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2019)

Article Remote Sensing

Mapping pasture biomass in Mongolia using Partial Least Squares, Random Forest regression and Landsat 8 imagery

Munkhdulam Otgonbayar et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)

Article Biodiversity Conservation

Suitability of NDVI and OSAVI as estimators of green biomass and coverage in a semi-arid rangeland

Rachel R. Fern et al.

ECOLOGICAL INDICATORS (2018)

Article Environmental Sciences

Estimates of grassland biomass and turnover time on the Tibetan Plateau

Jiangzhou Xia et al.

ENVIRONMENTAL RESEARCH LETTERS (2018)

Article Geography, Physical

Monitoring mangrove biomass change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms

Lien T. H. Pham et al.

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2017)

Article Environmental Sciences

Toward a general tropical forest biomass prediction model from very high resolution optical satellite images

P. Ploton et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Ecology

Rangeland ecosystem services: shifting focus from supply to reconciling supply and demand

Laura Yahdjian et al.

FRONTIERS IN ECOLOGY AND THE ENVIRONMENT (2015)

Article Remote Sensing

Monitoring grass nutrients and biomass as indicators of rangeland quality and quantity using random forest modelling and World View-2 data

Abel Ramoelo et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)

Article Remote Sensing

Estimating above-ground biomass on mountain meadows and pastures through remote sensing

M. Barrachina et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)

Article Geography, Physical

Modeling Above-Ground Biomass in Tallgrass Prairie Using Ultra-High Spatial Resolution sUAS Imagery

Huan Wang et al.

PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING (2014)

Article Environmental Sciences

Landsat-8: Science and product vision for terrestrial global change research

D. P. Roy et al.

REMOTE SENSING OF ENVIRONMENT (2014)

Article Environmental Sciences

Estimates of Aboveground Biomass from Texture Analysis of Landsat Imagery

Katharine C. Kelsey et al.

REMOTE SENSING (2014)

Article Forestry

Mapping fuels in Yosemite National Park

Seth H. Peterson et al.

CANADIAN JOURNAL OF FOREST RESEARCH (2013)

Article Ecology

Linking Phenology and Biomass Productivity in South Dakota Mixed-Grass Prairie

Matthew Rigge et al.

RANGELAND ECOLOGY & MANAGEMENT (2013)

Article Environmental Sciences

Estimating future burned areas under changing climate in the EU-Mediterranean countries

Giuseppe Amatulli et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2013)

Article Remote Sensing

Estimation of grassland biomass and nitrogen using MERIS data

Saleem Ullah et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2012)

Article Ecology

Increasing Shrub Use by Livestock in a World with Less Grass

R. E. Estell et al.

RANGELAND ECOLOGY & MANAGEMENT (2012)

Article Environmental Sciences

Forest biomass estimation from airborne LiDAR data using machine learning approaches

Colin J. Gleason et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda

Valerio Avitabile et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Article Environmental Sciences

Improved forest biomass estimates using ALOS AVNIR-2 texture indices

Latifur Rahman Sarker et al.

REMOTE SENSING OF ENVIRONMENT (2011)

Article Meteorology & Atmospheric Sciences

Physiographically sensitive mapping of climatological temperature and precipitation across the conterminous United States

Christopher Daly et al.

INTERNATIONAL JOURNAL OF CLIMATOLOGY (2008)

Article Environmental Sciences

Development of a two-band enhanced vegetation index without a blue band

Zhangyan Jiang et al.

REMOTE SENSING OF ENVIRONMENT (2008)

Article Ecology

Ecological services to and from rangelands of the United States

Kris M. Havstad et al.

ECOLOGICAL ECONOMICS (2007)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)