Assessment of remote-sensed vegetation indices for estimating forest chlorophyll concentration

Ecological Indicators, Journal Year: 2024, Volume and Issue: 162, P. 112001 - 112001

Published: April 11, 2024

Remote-sensed vegetation indices (VIs) have emerged as essential tools for retrieving forest chlorophyll concentration. Although VIs are widely used, some concerns regarding estimating remain to be addressed, such saturation effect, leaf area index (LAI) disturbance, and soil brightness influence. Currently, a systematic study on performance evaluation of chlorophyll-related considering these issues is still insufficient. This coupled two radiative transfer models, the PROSPECT model LESS model, simulate Eucalyptus monocultures with different content systematically evaluated 18 broad-band VIs' ability in estimation at scales. Our results indicate that most designed were relatively resistant saturation, except SIPI classical (e.g., NDVI DVI), which insensitive decreases tended reach quickly (when (LCC) exceeded 40 ug/cm2). The relationships between NDVI, SR, DVI, LCC easily influenced by LAI. S2REP, MTCI, TGI, TCARI, EVI when LCC. Overall, S2REP was best quantitatively resisting interference from other factors. For practical applications, our suggests it preferable use red-edge band available; otherwise, CVI can used instead. judicious utilization VI effectively depict levels improve understanding response climate change. findings provide necessary information selection specific tailored parameters.

Language: Английский

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Thermal sensitivity across forest vertical profiles: patterns, mechanisms, and ecological implications

New Phytologist, Journal Year: 2022, Volume and Issue: 237(1), P. 22 - 47

Published: Oct. 14, 2022

Rising temperatures are influencing forests on many scales, with potentially strong variation vertically across forest strata. Using published research and new analyses, we evaluate how microclimate leaf temperatures, traits, gas exchange vary in forests, shaping tree, ecosystem ecology. In closed-canopy upper canopy leaves exposed to the highest solar radiation evaporative demand, which can elevate temperature (Tleaf ), particularly when transpirational cooling is curtailed by limited stomatal conductance. However, foliar traits also height or light gradients, partially mitigating protecting against elevation of Tleaf . Leaf metabolism generally increases vertical gradient, yet differences thermal sensitivity gradient appear modest. Scaling from trees, trees have higher absolute metabolic capacity growth, more vulnerable drought damaging than their smaller counterparts, under climate change. By contrast, understory experience fewer extreme high 's but mechanisms thus may be strongly impacted warming some conditions, a harsher microenvironment through disturbance. As changes, integrating patterns reviewed here into models will critical forecasting forest-climate feedback.

Language: Английский

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Carbon sequestration and storage potential of urban residential environment – A review

Sustainable Cities and Society, Journal Year: 2022, Volume and Issue: 84, P. 104027 - 104027

Published: June 24, 2022

Cities are hotspots of anthropogenic activity and consumption. Thus, the consumption-based carbon footprints their residents pronounced. However, beneficial climate impacts attributable to individual residents, such as sequestration storage (CSS) provided by residential green spaces housing, have received less attention in scientific literature. This review article presents an overview current research on urban environment's CSS potential argues for its inclusion so-called handprint consumers. The focus existing is developed countries, empirical studies absence compiling literature a clear gap. Most estimated lie within pools vegetation, soils wooden construction, with biochar other biogenic construction materials presenting key future development pathways. underlying background variables guiding formation pool were identified extremely complex interconnected, broadly classified into spatial, temporal socioeconomic factor categories. Our findings suggest that there significant growth capacity, but substantial efforts from community, planners policy-makers, themselves needed realise this.

Language: Английский

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Amazon forest biogeography predicts resilience and vulnerability to drought

Nature, Journal Year: 2024, Volume and Issue: 631(8019), P. 111 - 117

Published: June 19, 2024

Language: Английский

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A study of annual tree-wise LiDAR intensity patterns of boreal species observed using a hyper-temporal laser scanning time series

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 305, P. 114083 - 114083

Published: Feb. 27, 2024

This study introduces the annual tree-wise intensity patterns of three boreal tree species, silver birch (Betula pendula Roth.), Scots pine (Pinus sylvestris L.), and Norway spruce (P,icea abies H. Karst.), observed from a long-term hyper-temporal point cloud dataset collected with permanent laser scanning (LiDAR) station. An LiDAR pattern refers to trend variations calibrated values over course year, primarily linked species-specific phenological characteristics. Such was discovered (76 observations between April 2020 2021) high resolution (0.01 m 3D spacing at 100 distance) acquired using single wavelength (1550 nm) static system installed on climate monitoring tower Hyytiälä forest research station in central Finland. A set experiments designed explore interactions among intensity, data quality, observation dates. Thus, provide practical suggestions for expectable accuracies species classification diverse types systems acquisition strategies. It revealed that by combining spatial (up 100,000 points/m2) bi-weekly (two scans per week except winter period), average accuracy reaches 96.8% area, where few misclassified cases are attributed inaccurate individual segmentation. suggests patterns, which reflects dynamics, robust species-specific. When reduced 5 points/ m2, studied reached 85% when bi-temporal spring autumn. Our analysis further indicates arranging two-week variability late autumn could yield higher classification. Furthermore, our importance subcanopy information classification, specifically distinguishing different coniferous species. limited upper canopy (as simulated airborne scenarios), achieving 80% required either density (e.g. 8000 combined collection or low (5 m2) dense time series (e.g., 76 points within year), showcased possibility compensate temporal resolution, vice versa, capturing characteristics trees.

Language: Английский

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Telecoupling between urban expansion and forest ecosystem service loss through cultivated land displacement: A case study of Zhejiang Province, China

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120695 - 120695

Published: March 28, 2024

Language: Английский

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Seasonal variations in vegetation water content retrieved from microwave remote sensing over Amazon intact forests

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 285, P. 113409 - 113409

Published: Dec. 14, 2022

Language: Английский

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DETER-R: An Operational Near-Real Time Tropical Forest Disturbance Warning System Based on Sentinel-1 Time Series Analysis

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(15), P. 3658 - 3658

Published: July 30, 2022

Continuous monitoring of forest disturbance on tropical forests is a fundamental tool to support proactive preservation actions and stop further destruction native vegetation. Currently most the systems in operation are based optical imagery, thus flaw-prone areas with frequent cloud cover. As this, several Synthetic Aperture Radar (SAR)-based have been developed recently, aiming all-weather detection. This article presents main aspects results first year SAR Near Real-Time Deforestation Detection System (DETER-R), an automated deforestation detection system focused Brazilian Amazon. DETER-R uses Google Earth Engine platform preprocess analyze Sentinel-1 time series. New images treated analyzed daily. After analysis, vectorizes clusters deforested pixels sends corresponding polygons environmental enforcement agency. 12 months operational life, has produced 88,572 warnings. Human validation warning showed extremely low rate misdetections, less than 0.2% detected area false positives. During operation, provided 33,234 warnings interest national agencies which were not by its counterpart DETER same period, 105,238.5 ha, or approximately 5% total detections. rainy season, additional detections increased as expected, reaching 8.1%.

Language: Английский

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StrucNet: a global network for automated vegetation structure monitoring

Remote Sensing in Ecology and Conservation, Journal Year: 2023, Volume and Issue: 9(5), P. 587 - 598

Published: April 14, 2023

Abstract Climate change and increasing human activities are impacting ecosystems their biodiversity. Quantitative measurements of essential biodiversity variables (EBV) climate used to monitor carbon dynamics evaluate policy management interventions. Ecosystem structure is at the core EBVs stock estimation can help inform assessments species diversity. also as an indirect indicator habitat quality expected richness or community composition. Spaceborne provide large‐scale insight into monitoring structural ecosystems, but they generally lack consistent, robust, timely detailed information regarding full three‐dimensional vegetation local scales. Here we demonstrate potential high‐frequency ground‐based laser scanning systematically changes in vegetation. We present a proof‐of‐concept high‐temporal ecosystem time series 5 years temperate forest using terrestrial (TLS). data from automated that allow upscaling scanning, overcoming limitations typically opportunistic TLS measurement approach. Automated will be critical component build network field sites required calibration for satellite missions effectively over large areas. Within this perspective, reflect on how could designed discuss implementation pathways.

Language: Английский

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Global mapping of forest clumping index based on GEDI canopy height and complementary data

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 209, P. 1 - 16

Published: Feb. 3, 2024

Language: Английский

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