4.7 Article

Using Landsat time series and bi-temporal GEDI to compare spectral and structural vegetation responses after fire

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Environmental Sciences

Aboveground biomass density models for NASA's Global Ecosystem Dynamics Investigation (GEDI) lidar mission

Laura Duncanson et al.

Summary: This paper presents the development of models used by NASA's Global Ecosystem Dynamics Investigation (GEDI) to estimate forest aboveground biomass density (AGBD). The models were developed using globally distributed field and airborne lidar data, with simulated relative height metrics as predictor variables. The study found that stratification by geographic domain and the use of square root transformation improved model performance.

REMOTE SENSING OF ENVIRONMENT (2022)

Article Environmental Sciences

Mapping, validating, and interpreting spatio-temporal trends in post-disturbance forest recovery

Joanne C. White et al.

Summary: This research utilizes remote sensing data to analyze the recovery of Canadian forested ecosystems in the past three decades. The study finds that harvested areas have a faster spectral recovery compared to areas affected by wildfire, and the recovery rate is influenced by ecozone, disturbance type, pre-disturbance land cover, and latitude. Airborne laser scanning data is used to evaluate whether recovered pixels meet United Nations benchmarks, with height benchmarks being easier to achieve. By analyzing the spatial patterns of spectral recovery rates, some areas are found to have slow recovery and difficulty achieving benchmarks, while others have rapid recovery.

REMOTE SENSING OF ENVIRONMENT (2022)

Article Chemistry, Analytical

Integrating GEDI and Landsat: Spaceborne Lidar and Four Decades of Optical Imagery for the Analysis of Forest Disturbances and Biomass Changes in Italy

Saverio Francini et al.

Summary: Forests are vital in combating climate change by absorbing a significant portion of human carbon emissions. However, climate change itself is expected to increase and alter forest disturbances, affecting their carbon absorption capacity. Therefore, it is crucial to monitor forests using all available sources of information. In this study, Landsat and GEDI data were combined to monitor disturbances in Italian forests over a period of four decades. The results showed that both data sources provided valuable information for forest disturbance mapping.

SENSORS (2022)

Article Environmental Sciences

Intercomparison of Real and Simulated GEDI Observations across Sclerophyll Forests

Sven Huettermann et al.

Summary: Forest structure is a crucial variable in ecology, fire behavior, and carbon management. New spaceborne lidar sensors, like GEDI, allow for global mapping of forest structure. This study compared real and simulated GEDI observations and found that the simulator produced more accurate metrics for canopy height and ground detection. Despite some differences between real and simulated GEDI observations, the study suggests that both data sources are compatible and can be used together in monitoring forest structure over time.

REMOTE SENSING (2022)

Article Environmental Sciences

Spatially Continuous Mapping of Forest Canopy Height in Canada by Combining GEDI and ICESat-2 with PALSAR and Sentinel

Camile Sothe et al.

Summary: This study compared the performance of two spaceborne LiDAR sensors, GEDI and ICESat-2, for continuous canopy height estimation in Canada. The results showed that both sensors overestimated canopy height, but GEDI performed better than ICESat-2. However, for hemi-boreal forests, ICESat-2 captured the expected tall canopy heights better than GEDI, as both sensors have limited coverage in these areas.

REMOTE SENSING (2022)

Article Environmental Sciences

Fifty years of Landsat science and impacts

Michael A. Wulder et al.

Summary: Since 1972, the Landsat program has provided 50 years of digital, multispectral, medium spatial resolution observations, playing a crucial role in scientific and technical advancements. The program's early years brought technological breakthroughs and established a template for global Earth observation missions. The knowledge gained from Landsat has been recognized for its economic and scientific value, leading to continuous improvement and increased usage through the introduction of free and open access to data.

REMOTE SENSING OF ENVIRONMENT (2022)

Article Environmental Sciences

Large loss and rapid recovery of vegetation cover and aboveground biomass over forest areas in Australia during 2019-2020

Yuanwei Qin et al.

Summary: Australia experienced severe drought, high temperatures, and massive forest fires in 2019 and early 2020. However, the eucalyptus trees showed strong fire resilience, and the understory vegetation quickly recovered in 2020. Using multiple sensors, this study analyzed the impacts of fire and climate on forest areas in Australia and found that the forests experienced significant losses in 2019 but showed large gains in 2020 due to the high resilience of trees and favorable conditions. The results highlight the potential of monitoring and assessing post-fire recovery using remote sensing.

REMOTE SENSING OF ENVIRONMENT (2022)

Article Environmental Sciences

The 2019/2020 mega-fires exposed Australian ecosystems to an unprecedented extent of high-severity fire

Luke Collins et al.

Summary: This study found that while the wildfires in south-eastern Australia in 2019/2020 were larger in extent, they were not proportionally more severe than previous fires. High-severity fire area increased in wet-forests and less-common rainforest areas, accounting for 44% of the burnt area in 2019/2020.

ENVIRONMENTAL RESEARCH LETTERS (2021)

Article Environmental Sciences

Performance evaluation of GEDI and ICESat-2 laser altimeter data for terrain and canopy height retrievals

Aobo Liu et al.

Summary: This study validates the accuracy of GEDI and ICESat-2 in terrain and canopy height retrieval, revealing their performance and factors affecting their accuracy. GEDI outperforms ICESat-2 in canopy height retrieval, while ICESat-2 excels in terrain height retrieval.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Multidisciplinary Sciences

Implications of the 2019-2020 megafires for the biogeography and conservation of Australian vegetation

Robert C. Godfree et al.

Summary: The bushfires in Australia during 2019-2020 had a serious impact on vascular plant species in the southeast region, with over 50% of native species being affected, including some with wide geographic ranges. Although most affected species are resilient to fire, the broad impact of the fires may lead to decline in some ecosystems.

NATURE COMMUNICATIONS (2021)

Article Environmental Sciences

Monitoring Key Forest Structure Attributes across the Conterminous United States by Integrating GEDI LiDAR Measurements and VIIRS Data

Khaldoun Rishmawi et al.

Summary: Accurate information on global forest distribution and 3D structure is crucial for assessing forest biomass stocks and future terrestrial Carbon sink projections. The GEDI LiDAR sensor provides unprecedented sampling of forest structural properties, with VIIRS data successfully extrapolating GEDI measurements for wall-to-wall forest structure maps in the conterminous US. Validation results demonstrate the robustness of the VIIRS data for monitoring forest structural changes over large areas.

REMOTE SENSING (2021)

Article Environmental Sciences

Fusing Sentinel-1 and-2 to Model GEDI-Derived Vegetation Structure Characteristics in GEE for the Paraguayan Chaco

Patrick Kacic et al.

Summary: The structure of vegetation is crucial for assessing wildlife habitats and carbon storage in forests. Global studies show agricultural expansion in tropical forests is putting pressure on their continuity and biodiversity. Using data from GEDI and other sources, a study focused on Paraguayan Chaco's vegetation structure aims to create high-resolution maps to aid conservation efforts.

REMOTE SENSING (2021)

Review Environmental Sciences

Modelling lidar-derived estimates of forest attributes over space and time: A review of approaches and future trends

Nicholas C. Coops et al.

Summary: Light detection and ranging (lidar) data obtained from airborne or spaceborne platforms have revolutionized the measurement and mapping of forest attributes. Various modelling approaches have been developed to extend the accurate vegetation structural data obtained from airborne or space-based lidar systems over broader areas, ranging from local landscapes to the globe. These modelling approaches are used for a variety of applications and can help in forest management purposes or monitoring at regional or global scales.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Environmental Sciences

Scaled biomass estimation in woodland ecosystems: Testing the individual and combined capacities of satellite multispectral and lidar data

Michael J. Campbell et al.

Summary: The study demonstrates that the combination of Landsat and GEDI metrics produces the best predictive model for AGB estimation in dryland woodland ecosystems. A methodological framework was proposed to link field-measured AGB with ALS data, and link ALS-modeled AGB with satellite data. The positional uncertainty of large footprint spaceborne lidar may propagate to the predictive models.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Geosciences, Multidisciplinary

The Carbon Cycle of Southeast Australia During 2019-2020: Drought, Fires, and Subsequent Recovery

B. Byrne et al.

Summary: 2019 was the hottest and driest year on record for southeast Australia, leading to unprecedented bushfires. Biomass burning released a significant amount of CO2, while drought and fire-induced anomalies reduced carbon uptake during the growing season. The regional carbon budget is strongly influenced by climate variability, with cool-wet conditions needed for rapid recovery of carbon stocks.

AGU ADVANCES (2021)

Article Forestry

Using GEDI lidar data and airborne laser scanning to assess height growth dynamics in fast-growing species: a showcase in Spain

Juan Guerra-Hernandez et al.

Summary: The study used GEDI statistics and nationwide ALS surveys to estimate forest dynamics in three fast-growing forest ecosystems in Northwest Spain. Results showed that the spatio-temporal assessment allowed for large-scale detection of harvests, and GEDI data provided valuable insights for forest industry operations.

FOREST ECOSYSTEMS (2021)

Article Engineering, Electrical & Electronic

GEDI Elevation Accuracy Assessment: A Case Study of Southwest Spain

Elia Quiros et al.

Summary: Information on forest structures is increasingly important for global carbon cycling, forest habitats, and biodiversity. The study compared GEDI data with other digital elevation models for Southwest Spain, finding that in some areas, the errors were less than 1 meter. The results indicate a clear relationship between coverage and slope, especially the latter.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2021)

Letter Biodiversity Conservation

Causes and consequences of eastern Australia's 2019-20 season of mega-fires

Rachael H. Nolan et al.

GLOBAL CHANGE BIOLOGY (2020)

Letter Environmental Sciences

Unprecedented burn area of Australian mega forest fires

Matthias M. Boer et al.

NATURE CLIMATE CHANGE (2020)

Article Environmental Sciences

A remote sensing approach to mapping fire severity in south-eastern Australia using sentinel 2 and random forest

Rebecca Gibson et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Environmental Sciences

Towards mapping the diversity of canopy structure from space with GEDI

Fabian D. Schneider et al.

ENVIRONMENTAL RESEARCH LETTERS (2020)

Article Ecology

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

Suzanne M. Marselis et al.

GLOBAL ECOLOGY AND BIOGEOGRAPHY (2020)

Article Environmental Sciences

Training data requirements for fire severity mapping using Landsat imagery and random forest

Luke Collins et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Environmental Sciences

A fusion approach to forest disturbance mapping using time series ensemble techniques

Samuel Hislop et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Article Environmental Sciences

Implementation of the LandTrendr Algorithm on Google Earth Engine

Robert E. Kennedy et al.

REMOTE SENSING (2018)

Article Environmental Sciences

Google Earth Engine: Planetary-scale geospatial analysis for everyone

Noel Gorelick et al.

REMOTE SENSING OF ENVIRONMENT (2017)

Article Remote Sensing

Forest recovery trends derived from Landsat time series for North American boreal forests

Paul D. Pickell et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)

Article Environmental Sciences

Boreal Shield forest disturbance and recovery trends using Landsat time series

Ryan J. Frazier et al.

REMOTE SENSING OF ENVIRONMENT (2015)

Review Plant Sciences

Evolutionary ecology of resprouting and seeding in fire-prone ecosystems

Juli G. Pausas et al.

NEW PHYTOLOGIST (2014)

Article Environmental Sciences

Spatial and temporal patterns of forest disturbance and regrowth within the area of the Northwest Forest Plan

Robert E. Kennedy et al.

REMOTE SENSING OF ENVIRONMENT (2012)

Review Ecology

Fire as a global 'herbivore': the ecology and evolution of flammable ecosystems

WJ Bond et al.

TRENDS IN ECOLOGY & EVOLUTION (2005)