Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities

ISPRS Journal of Photogrammetry and Remote Sensing, Journal Year: 2024, Volume and Issue: 217, P. 149 - 164

Published: Aug. 29, 2024

Language: Английский

---

Variation of vegetation autumn phenology and its climatic drivers in temperate grasslands of China

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 114, P. 103064 - 103064

Published: Oct. 18, 2022

Understanding the variation of autumn phenology and its climatic drivers is important for predicting terrestrial carbon cycles in temperate grasslands China. Using meteorological data GIMMS NDVI during 1982–2015, this study analyzed variations end date vegetation growing season (EOS) their relationships with climate The results showed that EOS was delayed by 1.62 days/decade across For different grassland types, 1.65, 1.66, 1.34 meadows, steppes, desert respectively. In terms change effects, increasing summer precipitation temperatures crucial delaying increase could delay EOS, especially whereas significantly meadows. addition, we found influences nighttime daytime warming on were asymmetric. Specifically, maximum temperature meadows minimum steppes had a weakly advancing effect Our highlights distinct monthly types indicates impacts should be included simulating ecosystems arid/semi-arid regions.

Language: Английский

---

Response of vegetation phenology to urbanization in urban agglomeration areas: A dynamic urban–rural gradient perspective

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 864, P. 161109 - 161109

Published: Dec. 23, 2022

Language: Английский

---

Using airborne and DESIS imaging spectroscopy to map plant diversity across the largest contiguous tract of tallgrass prairie on earth

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 281, P. 113254 - 113254

Published: Sept. 21, 2022

Grassland ecosystems are under threat globally, primarily due to land-use and land-cover changes that have adversely affected their biodiversity. Given the negative ecological impacts of biodiversity loss in grasslands, there is an urgent need for developing operational monitoring system functions these ecosystems. In this paper, we assessed capability airborne spaceborne imaging spectroscopy (also known as hyperspectral imaging) capture plant α-diversity a large naturally-assembled grassland while considering impact common management practices, specifically prescribed fire. We collected robust in-situ diversity data set, including species composition percent cover from 2500 sampling points with different burn ages, recently-burned transitional pre-prescribed fire at Joseph H. Williams Tallgrass Prairie Preserve Oklahoma, USA. expressed using first three Hill numbers, richness (number observed community), exponential Shannon entropy index (hereafter diversity; effective number species, where weighed proportional cover), inverse Simpson concentration dominant more weight given species) four plot sizes, 60 m × m, 120 180 240 m. full-range fine spatial resolution (1 m) visible near-infrared DESIS sensor coarse (30 m), used spectral hypothesis—i.e., variability largely driven by diversity—to estimate remotely. plots those stage, both were capable capturing diversity—a metric calculates emphasizing abundant discounting rare species—but not or diversity. Further, neither nor sets plots. Based on results, main findings emerged: (1) practices influence patterns can be remotely detected, (2) fine- coarse-resolution remotely-sensed detect (e.g., diversity), (3) attention should site-specific field collection appropriately interpret remote sensing results. Findings study indicate feasibility estimating grasslands forthcoming imagers such National Aeronautics Space Administration's Surface Biology Geology mission.

Language: Английский

---

Vegetation photosynthetic phenology dataset in northern terrestrial ecosystems

Scientific Data, Journal Year: 2023, Volume and Issue: 10(1)

Published: May 19, 2023

Abstract Vegetation phenology can profoundly modulate the climate-biosphere interactions and thus plays a crucial role in regulating terrestrial carbon cycle climate. However, most previous studies rely on traditional vegetation indices, which are inadequate to characterize seasonal activity of photosynthesis. Here, we generated an annual photosynthetic dataset with spatial resolution 0.05 degrees from 2001 2020, using latest gross primary productivity product based solar-induced chlorophyll fluorescence (GOSIF-GPP). We combined smoothing splines multiple change-point detection retrieve metrics: start growing season (SOS), end (EOS), length (LOS) for ecosystems above 30° N latitude (Northern Biomes). Our be used validate develop or models monitor climate change impacts ecosystems.

Language: Английский

---

Asymmetrical Impact of Daytime and Nighttime Warming on the Interannual Variation of Urban Spring Vegetation Phenology

Earth s Future, Journal Year: 2024, Volume and Issue: 12(5)

Published: May 1, 2024

Abstract Urban warming significantly advances spring vegetation phenology. However, the potential effect of daytime and nighttime on start urban growing season (SOS) remains to be determined. Here, we characterized interannual response SOS from 2003 2020 using remotely sensed phenological observations across cities in Northern Hemisphere (>30°N). We implemented partial correlation analysis process‐based phenology model quantify effects vegetation. found that either or can promote an earlier for cities, while varies cities. Additionally, ( S T , expressed advance days per °C warming) offset each other at average rate 0.08 days/°C decade. Our results suggest predominates temporal variation high‐latitude whereas is primary driver change low‐latitude By revealing contributions SOS, our highlight importance considering temperatures separately thermal climate variability.

Language: Английский

---

A machine learning scheme for estimating fine-resolution grassland aboveground biomass over China with Sentinel-1/2 satellite images

Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 311, P. 114317 - 114317

Published: July 16, 2024

Language: Английский

---

Monitoring spring leaf phenology of individual trees in a temperate forest fragment with multi-scale satellite time series

Remote Sensing of Environment, Journal Year: 2023, Volume and Issue: 297, P. 113790 - 113790

Published: Sept. 1, 2023

Language: Английский

---

Influence of urbanisation on the phenology of evergreen coniferous and deciduous broadleaf trees in Madrid (Spain)

Landscape and Urban Planning, Journal Year: 2023, Volume and Issue: 235, P. 104760 - 104760

Published: March 28, 2023

Plant phenology plays a crucial role in terrestrial ecosystems and is key indicator of ecological changes. It influenced by alterations meteorological conditions at micro- mesoscale cities as result urbanisation the intensification anthropogenic activities. One example urban heat island (UHI), i.e. increase temperature city cores compared to their surroundings. In this study, we used plant phenological data from High-Resolution Vegetation Phenology Productivity dataset Copernicus Land Monitoring Service explore relationship between intensity (i.e., proportion built-up area) productivity broadleaf deciduous evergreen coniferous trees Madrid its surroundings, one largest metropolitan areas Europe. We found average start season date advanced 0.79–11.79 days highly urbanised areas, was delayed 5.77–9.16 trees. Although differences were also observed for end length growing season, these patterns showed great interannual variability. Both most productive areas. previous studies have explored response different land-cover types urbanisation, our knowledge, none looked fine spatial scale Mediterranean with vegetation functional groups. The analysis more specific classes enables better understanding intensity.

Language: Английский

---

Urban environments provide new perspectives for forecasting vegetation phenology responses under climate warming

Global Change Biology, Journal Year: 2023, Volume and Issue: 29(15), P. 4383 - 4396

Published: May 30, 2023

Given that already-observed temperature increase within cities far exceeds the projected global rise by end of century, urban environments often offer a unique opportunity for studying ecosystem response to future warming. However, validity thermal gradients in space serving as substitute those time is rarely tested. Here, we investigated vegetation phenology dynamics China's 343 and empirically test whether phenological responses spatial settings can temporal their natural counterparts based on satellite-derived land surface from 2003 2018. We found prevalent advancing spring with "high confidence" delaying autumn "medium under context widespread Furthermore, showed cannot predicting shifts climate warming at national scale most cities. The thresholds ~11°C mean annual ~600 mm precipitation differentiated magnitude sensitivity across through time. Below thresholds, there existed stronger advanced delayed urbanization than time, vice versa. Despite complex diverse relationships between sensitivities directions changes were converged (i.e., mostly increased), but divergent increased or decreased without predominant direction). Similarly, more uniformly over These results suggested provide real-world condition understand

Language: Английский

---