Monitoring Mediterranean Oak Decline in a Peri-Urban Protected Area Using the NDVI and Sentinel-2 Images: The Case Study of Castelporziano State Natural Reserve

Recanatesi, Fabio; Giuliani, Chiara; Ripa, Maria Nicolina

doi:10.3390/su10093308

Cited by 39 publications

(36 citation statements)

References 23 publications

(24 reference statements)

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“…The method was tested on 25 high mortality sites and the significance of the model was presented with p value of 0.03. In another recent study on oak decline (mortality) using NDVI from Sentinel 2 images, Recanatesi et al [54] applied Normalized Difference Vegetation Index (NDVI), using the diachronic images provided by the Sentinel-2 satellite to quantify forest health conditions, they reported 5.5% decrease in vegetative capability.…”

Section: Assessing Forest Health and Physiology Statusmentioning

confidence: 99%

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Surový

Kuželka

2019

Forests

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In recent decades, remote sensing techniques and the associated hardware and software have made substantial improvements. With satellite images that can obtain sub-meter spatial resolution, and new hardware, particularly unmanned aerial vehicles and systems, there are many emerging opportunities for improved data acquisition, including variable temporal and spectral resolutions. Combined with the evolution of techniques for aerial remote sensing, such as full wave laser scanners, hyperspectral scanners, and aerial radar sensors, the potential to incorporate this new data in forest management is enormous. Here we provide an overview of the current state-of-the-art remote sensing techniques for large forest areas thousands or tens of thousands of hectares. We examined modern remote sensing techniques used to obtain forest data that are directly applicable to decision making issues, and we provided a general overview of the types of data that can be obtained using remote sensing. The most easily accessible forest variable described in many works is stand or tree height, followed by other inventory variables like basal area, tree number, diameters, and volume, which are crucial in decision making process, especially for thinning and harvest planning, and timber transport optimization. Information about zonation and species composition are often described as more difficult to assess; however, this information usually is not required on annual basis. Counts of studies on forest health show an increasing trend in the last years, mostly in context of availability of new sensors as well as increased forest vulnerability caused by climate change; by virtue to modern sensors interesting methods were developed for detection of stressed or damaged trees. Unexpectedly few works focus on regeneration and seedlings evaluation; though regenerated stands should be regularly monitored in order to maintain forest cover sustainability.

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Section: Assessing Forest Health and Physiology Statusmentioning

confidence: 99%

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Surový

Kuželka

2019

Forests

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“…Among these, the free access Sentinel-2 mission of ESA (European Space Agency), with a 10 m spatial resolution for bands in the spectral range of the blue (B2-490 nm), green (B3-560 nm), red (B4-665 nm) and infra-red (B8-842 nm) and a revisit rate of approximately five days, represents an important support for environmental mapping in the Mediterranean area [12,13]. The relatively recent release of Sentinel-2 mission (Sentinel-2A launched on 23 June 2016 and Sentinel-2B launched on 7 March 2017) still has several potentialities to be explored [14].…”

Section: Introductionmentioning

confidence: 99%

Capturing Coastal Dune Natural Vegetation Types Using a Phenology-Based Mapping Approach: The Potential of Sentinel-2

et al. 2019

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Coastal areas harbor the most threatened ecosystems on Earth, and cost-effective ways to monitor and protect them are urgently needed, but they represent a challenge for habitat mapping and multi-temporal observations. The availability of open access, remotely sensed data with increasing spatial and spectral resolution is promising in this context. Thus, in a sector of the Mediterranean coast (Lazio region, Italy), we tested the strength of a phenology-based vegetation mapping approach and statistically compared results with previous studies, making use of open source products across all the processing chain. We identified five accurate land cover classes in three hierarchical levels, with good values of agreement with previous studies for the first and the second hierarchical level. The implemented procedure resulted as being effective for mapping a highly fragmented coastal dune system. This is encouraging to take advantage of the earth observation through remote sensing technology in an open source perspective, even at the fine scale of highly fragmented sand dunes landscapes.

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“…In this way, we obtained a binary layer that represents the dominant position of the forest characterized by evergreen and deciduous oaks. In Table 1 the main silvicultural parameters are shown for the eight forest structures analyzed [ 28 ].…”

Section: Methodsmentioning

confidence: 99%

The Contribution of Remote Sensing and Silvicultural Treatments to the Assessment of Decline in an Oak Deciduous Forest: The Study Case of a Protected Area in Mediterranean Environment

Recanatesi

Piccinno

Cucca

et al. 2020

Computational Science and Its Applications – ICCSA 2020

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Thanks to their ability to produce ecosystem services, forest ecosystems have a significant social, economic and environmental impact on the development of many regions in the world, especially when located in urban and peri-urban areas. Today, increased forest vulnerability is being reflected in a larger number of severe decline episodes associated mainly with drought. In this context, the Mediterranean area shows high forest vulnerability and a subsequent decline in its natural renewal rate. In this scenario, the aim of the present research is to assess sustainability of a protected pristine deciduous oak forest near Rome, developing a forest health condition monitoring tool based on the application of multispectral satellite data, and through the identification of silvicultural models appropriate for promoting natural forest renewal. The preliminary results of this research indicate how the exclusion of wildlife through fenced areas significantly favors the natural renewal of the forest, especially when silvicultural actions such as thinning are carried out. It has also been ascertained through the use of multispectral satellite data that there is a widespread decline in the health vegetative state of the deciduous oak surfaces, due to a widespread senescence of the forest. In the addressed study area, the Natural State Reserve of Castelporziano (Rome), data and results from this research can work as an important decision tool for sustainable forest management.

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Monitoring Mediterranean Oak Decline in a Peri-Urban Protected Area Using the NDVI and Sentinel-2 Images: The Case Study of Castelporziano State Natural Reserve

Cited by 39 publications

References 23 publications

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Acquisition of Forest Attributes for Decision Support at the Forest Enterprise Level Using Remote-Sensing Techniques—A Review

Capturing Coastal Dune Natural Vegetation Types Using a Phenology-Based Mapping Approach: The Potential of Sentinel-2

The Contribution of Remote Sensing and Silvicultural Treatments to the Assessment of Decline in an Oak Deciduous Forest: The Study Case of a Protected Area in Mediterranean Environment

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