Specialty Grand Challenge: Remote Sensing Time Series Analysis

Southworth, Jane; Muir, Carly

doi:10.3389/frsen.2021.770431

Cited by 7 publications

(6 citation statements)

References 40 publications

(31 reference statements)

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“…Future research could look more closely at some areas of interesting change, that do not hit the required significance levels for this research (±9). By using NDVI data to assess the areal extent, magnitude, direction, and temporal patterns of vegetation change, scientists can gain important insights into how vegetation is responding to changes in climate and other environmental conditions, as well as understand the health of ecosystems globally (Southworth et al, 2016;Southworth and Muir 2021). We calculated vegetation persistence at a pixel level for each season, for each year, and compared every season/year from 1987 to 2010 to the baseline period of 1982-1986.…”

Section: Discussionmentioning

confidence: 99%

“…This method in time series remote sensing analysis is pivotal in importance to assist in the user designed, easily replicated, analysis of patterns of vegetation change, which-once identified-can lead to more in-depth and regional scale studies of drivers (Southworth et al, 2016;Southworth and Muir 2021). Vegetation persistence methods, such as the approach in this study, using the vegetation persistence or "D" metric, are much more reproducible and innovative than traditional approaches to vegetation analysis.…”

Section: Discussionmentioning

confidence: 99%

“…Additionally, NDVI data can be used to monitor the effects of drought and other environmental stresses on vegetation health. Ultimately, satellite remote sensing provides a cost-effective means of monitoring large areas of vegetation over time, which is essential for understanding and managing the world's natural resources (Southworth and Muir, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Finally, NDVI data can be used to estimate net primary productivity, which is an important measure of ecosystem health. NDVI time series also provides a way to assess the statistical significance of changes in vegetation greenness at a pixel level (Southworth and Muir, 2021). This is important for understanding whether the observed changes are due to natural variability or to anthropogenic activity.…”

Section: Introductionmentioning

confidence: 99%

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Latitudes and land use: Global biome shifts in vegetation persistence across three decades

Southworth¹,

Ryan²,

Herrero³

et al. 2023

Front. Remote Sens.

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Introduction: The dynamics of terrestrial vegetation are shifting globally due to environmental changes, with potential repercussions for the proper functioning of the Earth system. However, the response of global vegetation, and the variability of the responses to their changing environment, is highly variable. In addition, the study of such changes and the methods used to monitor them, have in of themselves, been found to significantly impact the findings.Methods: This research builds on a recently developed vegetation persistence metric, which is simple to use, is user‐controlled to assess levels of statistical significance, and is readily reproducible, all designed to avoid these potential pitfalls. This study uses this vegetation persistence metric to present a global exploration of vegetation responses to climatic, latitudinal, and land‐use changes at a biomes level across three decades (1982–2010) of seasonal vegetation activity via the Normalized Difference Vegetation Index (NDVI).Results: Results demonstrated that positive vegetation persistence was found to be greater in June, July, August (JJA), and September, October, November (SON), with an increasing vegetation persistence found in the Northern Hemisphere (NH) over the Southern Hemisphere (SH). While vegetation showed positive persistence overall, this was not constant across all studied biomes. Overall forested biomes along with mangroves showed positive responses towards enhanced vegetation persistence in both the northern hemisphere and southern hemisphere. Contrastingly, desert, xeric shrubs, and savannas exhibited no significant persistence patterns, but the grassland biomes showed more negative persistence patterns and much higher variability over seasons, compared to the other biomes. The main drivers of changes appear to relate to climate, with tropical biomes linking to the availability of seasonal moisture, whereas the northern hemisphere forested biomes are driven more by temperature. Grasslands respond to moisture also, with high precipitation seasonality driving the persistence patterns. Land-use change also affected biomes and their responses, with many biomes having been significantly impacted by humans such that the vegetation response matched land use and not biome type.Discussion: The use here of a novel statistical time series analysis of NDVI at a pixel level, and looking historically back in time, highlights the utility and power of such techniques within global change studies. Overall, the findings match greening trends of other research but within a finer scale both temporally and spatially which is a critical new development in understanding global vegetation shifts.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Latitudes and land use: Global biome shifts in vegetation persistence across three decades

Southworth¹,

Ryan²,

Herrero³

et al. 2023

Front. Remote Sens.

Self Cite

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“…Each of these management approaches comes with its unique set of consequences and complexities on the landscape, affecting not only the biodiversity within the forests but also the patterns of land use in surrounding regions. Recent developments in cloud computing, collaborative mapping, and user-generated content platforms, such as volunteered geographic information (VGI), have spawned a new era in geographic visualization (geo-visualization or mapping and visualizing the world), such that the combination of crowdsourced mapping and cloud-based computing may overcome these difficulties (Southworth and Muir, 2021).…”

Section: Introductionmentioning

confidence: 99%

Linking forest management to surrounding lands: a citizen-based approach towards the regional understanding of land-use transitions

Yang

Herrero

et al. 2023

Front. Remote Sens.

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The Southeastern United States has high landscape heterogeneity, with heavily managed forestlands, developed agriculture, and multiple metropolitan areas. The spatial pattern of land use is dynamic. Expansion of urban areas convert forested and agricultural land, scrub forests are converted to citrus groves, and some croplands transition to pine plantations. Previous studies have recognized that forest management is the predominant factor in structural and functional changes forests, but little is known about how forest management practices interact with surrounding land uses at the regional scale. The first step in studying the spatial relationships of forest management with surrounding landscapes is to be able to map management practices and describe their proximity to various land uses. There are two major difficulties in generating land use and land management maps at the regional scale by any method: the necessity of large training data sets and expensive computation. The combination of crowdsourced, citizen-science mapping and cloud-based computing may help overcome those difficulties. In this study, OpenStreetMap is incorporated into mapping land use and shows great potential for justifying and monitoring land use at a regional scale. Google Earth Engine enables large-scale spatial analysis and imagery processing by providing a variety of Earth observation datasets and computational resources. By incorporating the OpenStreetMap dataset into Earth observation images to map forest land management practices and determine the distribution of other nearby land uses, we develop a robust regional land-use mapping approach and describe the patterns of how different land uses may affect forest management and vice versa. We find that cropland is more likely to be near ecological forest management patches; few close spatial relationships exist between land uses and preservation forest management, which fulfills the preservation management strategy of sustaining the forests, and production forests have the strongest spatial relationships with croplands. This approach leads to increased understanding of land-use patterns and management practices at local to regional scales.

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Change in observed long-term greening across Switzerland – evidence from a three decades NDVI time-series and its relationship with climate and land cover factors

Obuchowicz,

Poussin,

Giuliani

2023

Big Earth Data

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Specialty Grand Challenge: Remote Sensing Time Series Analysis

Cited by 7 publications

References 40 publications

Latitudes and land use: Global biome shifts in vegetation persistence across three decades

Latitudes and land use: Global biome shifts in vegetation persistence across three decades

Linking forest management to surrounding lands: a citizen-based approach towards the regional understanding of land-use transitions

Change in observed long-term greening across Switzerland – evidence from a three decades NDVI time-series and its relationship with climate and land cover factors

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