Monitoring and Prediction of Land Surface Phenology Using Satellite Earth Observations—A Brief Review

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(24), P. 12020 - 12020

Published: Dec. 22, 2024

Monitoring and predicting land surface phenology (LSP) are essential for understanding ecosystem dynamics, climate change impacts, forest agricultural productivity. Satellite Earth observation (EO) missions have played a crucial role in the advancement of LSP research, enabling global continuous monitoring vegetation cycles. This review provides brief overview key EO satellite missions, including advanced very-high resolution radiometer (AVHRR), moderate imaging spectroradiometer (MODIS), Landsat program, which an important capturing dynamics at various spatial temporal scales. Recent advancements machine learning techniques further enhanced prediction capabilities, offering promising approaches short-term cropland suitability assessment. Data cubes, organize multidimensional data, provide innovative framework enhancing analyses by integrating diverse data sources simplifying access processing. highlights potential satellite-based monitoring, models, cube infrastructure advancing research insights into current trends, challenges, future directions.

Language: Английский

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How wildfires increase sensitivity of Amazon forests to droughts

Environmental Research Letters, Journal Year: 2022, Volume and Issue: 17(4), P. 044031 - 044031

Published: March 7, 2022

Abstract The phenology of tropical forests is tightly related to climate conditions. In the Amazon, seasonal greening conditioned by solar radiation and rainfall. Yet, increasing anthropogenic pressures (e.g. logging wildfires), raise concerns about impacts forest degradation on functioning ecosystems, especially in a change context. this study, we relied remote sensing data assess contribution precipitation mature fire degraded forests, with focus 2015 drought event. Our results showed that more dependent water resources than forests. As consequence, expected increase episodes associated occurrences under could lead long-term drying

Language: Английский

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Assessment of Post-Fire Phenological Changes Using MODIS-Derived Vegetative Indices in the Semiarid Oak Forests

Forests, Journal Year: 2023, Volume and Issue: 14(3), P. 590 - 590

Published: March 16, 2023

Wildfire has significant impact on plant phenology. The plants’ phenological variables, derived from time series satellite data, can be monitored and the changes in imagery may used to identify beginning, peak, end of growing season. This study investigated use remote sensing data land surface phenology (LSP) parameters evaluate impacts fire. LSP included start season (SOS), length (LOS), (EOS), maximum greenness (Gmax), minimum greenery (Gmin) fire-impacted, semiarid oak forests Iran. These were extracted multitemporal normalized difference vegetation index (NDVI) enhanced (EVI2) acquired MODIS sensor images Zagros Ilam province western By extracting indices NDVI EVI2 compared between burned forest areas, areas surrounding forests, unburned for timesteps representing pre-fire, fire (i.e., year fire), post-fire 2 years) conditions. It was found that area, there differences Gmax day occurred. Furthermore, also a Gmin pre- conditions when used. results showed both control area terms Gmax. In general, had negative effect LSP, but two years after fire, signs restoration. provides necessary information inform resource conservation restoration programs.

Language: Английский

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Unraveling Effect of Snow Cover on Spring Vegetation Phenology across Different Vegetation Types in Northeast China

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(19), P. 4783 - 4783

Published: Sept. 30, 2023

Snow cover has significantly changed due to global warming in recent decades, causing large changes the vegetation ecosystem. However, impact of snow on spring phenology different types Northeast China remains unclear. In this study, we investigated response start growing season (SOS) indicators using partial correlation analysis and stepwise regression from 1982 2015 based multiple remote sensing datasets. Furthermore, revealed underlying mechanisms a structural equation model. The results show that decreased days (SCD) an advanced end date (SCED) led SOS forests. Conversely, increased SCD delayed SCED grasslands. trends did not exhibit significant rainfed cropland. maximum water equivalent (SWEmax) most areas. proportion between SWEmax was small. varied across types. mainly exhibited positive correlations with forests, including deciduous broadleaf forests coniferous negative 18.61% 2.58%, respectively. grasslands croplands, exhibiting 4.87% 13.06%, impacted through “temperature effect” while it affected “moisture These provide enhanced understanding differences affecting under climate change China.

Language: Английский

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Impact of tree species composition on fire resistance in temperate forest stands

Forest Ecology and Management, Journal Year: 2024, Volume and Issue: 572, P. 122279 - 122279

Published: Sept. 13, 2024

Language: Английский

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Exploration of global spatiotemporal changes of fall foliage coloration in deciduous forests and shrubs using the VIIRS land surface phenology product

Science of Remote Sensing, Journal Year: 2021, Volume and Issue: 4, P. 100030 - 100030

Published: Oct. 22, 2021

Fall foliage coloration is a phenological development process that has significant impact on ecosystem carbon and water balance, climate change, human sightseeing activities worldwide. Studies of land surface phenology concentrating the onset timing senescence dormancy are insufficient to reveal full details fall particularly important for travel tourism industry. Thus, aim this study first time explicitly explore in six phases (little/no coloration, low moderate near-peak peak post-peak coloration) related deciduous vegetation across globe. The duration each phase were estimated using VIIRS (Visible Infrared Imaging Radiometer Suite) product. results indicate spatial patterns interannual variations coloration. present regular shifts along latitudes Northern Hemisphere but complex Southern Hemisphere. rate change faster during later than early Hemisphere, while rates similar all phases. Moreover, smaller forested areas shrub areas, more so dense tree/shrub cover sparse areas. In contrast, depend type. Finally, there no trends 2013–2019. from improve our understanding provide valuable datasets communities tourism.

Language: Английский

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Satellite-Observed Spatio-Temporal Variation in Spring Leaf Phenology of Subtropical Forests across the Nanling Mountains in Southern China over 1999–2019

Forests, Journal Year: 2022, Volume and Issue: 13(9), P. 1486 - 1486

Published: Sept. 14, 2022

Knowledge of spatio-temporal variation in vegetation phenology is essential for understanding environmental change mountainous regions. In recent decades, satellite remote sensing has contributed to the across globe. However, subtropical mountains remains poorly understood, despite their important ecosystem functions and services. Here, we aim characterize pattern start growing season (SOS), a typical spring leaf phenological metric, forests Nanling Mountains (108–116° E, 24–27° N) southern China. SOS was estimated from time series GEOV2 area index (LAI) data at 1 km spatial resolution during period 1999–2019. We observed slightly earlier regional mean region (24–25° than those central northern also spatially varying elevation gradients SOS. The showed slope −0.2 days/year (p = 0.21) scale over addition, approximately 22% analyzed forested pixels experienced significantly < 0.1). Partial correlation analysis revealed that preseason air temperature most responsible climate factor controlling interannual this region. Furthermore, impacts on vary with forest types, mixed showing stronger between weaker winter evergreen broadleaf open forests. This suggests complication role regulating

Language: Английский

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Greenup dates change across a temperate forest-grassland ecotone in northeastern China driven by spring temperature and tree cover

Agricultural and Forest Meteorology, Journal Year: 2021, Volume and Issue: 314, P. 108780 - 108780

Published: Dec. 23, 2021

Changes in climate and land cover are potential drivers of surface phenology changes. Here, we investigate whether subpixel percent tree (PTC) change is an important driver trends satellite derived vegetation spring greenup date (GUD) across the Hulunbuir temperate forest-grassland ecotone northeastern China. GUD was estimated using MODIS-derived enhanced index time series during 2001–2020 with a spatial resolution 500 m. To understand influential mechanisms PTC on GUD, examined relationships between variations at multiple spatio-temporal extents. Forested pixels greater were found to have generally earlier GUDs for all forest types. The forests also than that grassland. On other hand, observed approximately 23.7% 1.2% significantly later region, respectively. Meanwhile, widespread increases preseason temperature (LST) detected. Both LST contributed forested region. Specifically, negative correlations (Spearman correlation coefficient -0.17 -0.55) slopes every grassland type. results highlight impacts variations, improve understanding ecosystem changes under effects human activities (e.g., afforestation) over ecotone.

Language: Английский

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Topography and climate of Mount Karanfil (Pozantı/Adana)

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2023, Volume and Issue: 12(1)

Published: Jan. 24, 2023

Abstract The goal of this study is to investigate the impact topographic features Mount Karanfil and its surroundings on local climate. Karanfil, located in Mediterranean Basin, has a unique ecological position due topography. This analyzed temperature, precipitation, wind conditions at from 1980 2018 using data General Directorate Meteorology (MGM). temperature indices were calculated Clima ArcGIS v10.5 software package. series was cluster analysis before being used calculate maximum minimum precipitation values for each month. spatial estimation method IDW interpolation then applied these data. initial showed significant differences between location others. may be southern aspect landscape, which receives more than other slopes affected by south-oriented sectoral winds that bring abundant slopes. results evaporation tends increase hot days with high temperatures compared low temperatures. Emberger bioclimatic index also confirmed typical climate mild, rainy winters hot, dry summers. In addition regional geology, geomorphologic mountainous mass specific valley profiles Ecemis stream Cakıt (such as strait valley) found influence These profiles, are composed narrow deep dolomitic limestone layers, their slope, elevation, aspect, digital elevation models resolution 10–20 m. analyses revealed decreases humidity increases alluvial floors.

Language: Английский

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Application of the Analysis Time Series and Multispectral Images for the Estimation of the Conditions of the Vegetation Covers of the Natural Areas of Southern Spain

Land, Journal Year: 2022, Volume and Issue: 12(1), P. 42 - 42

Published: Dec. 23, 2022

It has been scientifically proven that climate change is a reality. In subarid Mediterranean limates, this fact observed in the irregular distribution of rainfall, resulting alternating periods more or less prolonged drought with episodes torrential rains concentrated short time. We have selected 11 natural areas southern Spain, where we will observe these circumstances and series ecosystems composed vegetation covers high ecological value are found. start from question whether climatic really deteriorating them. For study, propose method combines three analysis techniques: design time series, application indices, use techniques changes land use. From combination period 1997 to 2021, there dynamic maintained its original characteristics by than 70%, so it possible affirm adaptation conditions occurred satisfactorily. However, general statement shows some particularities which those show work.

Language: Английский

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