Forest accessibility, Madonie mountains (northern Sicily, Italy): implementing a GIS decision support system

Sferlazza, Sebastiano; Maltese, Antonino; Ciraolo, Giuseppe; Dardanelli, Gino; Maetzke, Federico Guglielmo; Veca, Donato Salvatore La Mela

doi:10.1080/17445647.2021.1962751

Cited by 7 publications

(7 citation statements)

References 24 publications

(30 reference statements)

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“…The use of GNSS for forest and wetland hydrology is also developing. According to other geomatics techniques (Remote Sensing, UAV/UAS and LiDAR), it can be considered a resource for the assessing of climate-related environmental risks, such as fires, landslides, epidemics of forest diseases, rapid deterioration of the quality of watercourses, and conversion of forest wetlands to montane forests, due to the deposition of eroded soil [109][110][111]. Newer ECOSTRESS [112] and SMAP [113] satellite types, specifically designed to obtain soil moisture information with dense forest cover, may be an important improvement in this emerging study.…”

Section: Discussionmentioning

confidence: 99%

A Review on Multi-GNSS for Earth Observation and Emerging Applications

2022

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Global Navigation Satellite System (GNSS) has drawn the attention of scientists and users all over the world for its wide-ranging Earth observations and applications. Since the end of May 2022, more than 130 satellites are available for fully global operational satellite navigation systems, such as BeiDou Navigation Satellite System (BDS), Galileo, GLONASS and GPS, which have been widely used in positioning, navigation, and timing (PNT), e.g., precise orbit determination and location-based services. Recently, the refracted, reflected, and scattered signals from GNSS can remotely sense the Earth’s surface and atmosphere with potential applications in environmental remote sensing. In this paper, a review of multi-GNSS for Earth Observation and emerging application progress is presented, including GNSS positioning and orbiting, GNSS meteorology, GNSS ionosphere and space weather, GNSS-Reflectometry and GNSS earthquake monitoring, as well as GNSS integrated techniques for land and structural health monitoring. One of the most significant findings from this review is that, nowadays, GNSS is one of the best techniques in the field of Earth observation, not only for traditional positioning applications, but also for integrated remote sensing applications. With continuous improvements and developments in terms of performance, availability, modernization, and hybridizing, multi-GNSS will become a milestone for Earth observations and future applications.

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Section: Discussionmentioning

confidence: 99%

A Review on Multi-GNSS for Earth Observation and Emerging Applications

2022

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“…Pada artikel yang berjudul "Forest accessibility, Madonie mountains (northern Sicily, Italy): implementing a GIS decision support system" (Sferlazza et al, 2021) dengan adanya ekspolitasi kayu yang terus menerus malah memberikan peluang penting untuk bisa merencanakan jalur pembangunan alternatif bagi masyarakat pedesaan di kawasan hutan lindung. Sayangnya, dalam tata kelola kawasan lindung Mediterania sering terjadi tumpang tindih, konflik antar lembaga dan pemangku kepentingan, dan peraturan yang saling bertentangan menyebabkan dampak negatif pada pengambilan keputusan.…”

Section: Penggunaan Dss Dalam Sistem Informasi Geografisunclassified

Implementasi Decision Support System di Bidang Data Spasial: Systematic Literature Review

Prihantara

Oktaviani²,

SJ³

2023

SOSAINS

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Latar Belakang :. Data spasial merupakan data spasial merupakan data yang terhubung dengan suatu lokasi atau suatu tempat di bumi. Dalam hal pengelolaan dan analisis data spasial yang akan digunakan untuk pengambilan keputusan, dibutuhkan sebuah system yang dapat memudahkan pekerjaan tersebut secara terautomasi namun tetap berdasarkan hasil-hasil ilmiah. Tujuan :. Tujuan penelitian ini adalah untuk memberikan gambaran mengenai implementasi penggunaan decision system support di bidang geografi sehingga dapat membantu para professional di bidang ini dalam pengambilan keputusan. Metode : Dalam penelitian ini digunakan metode literatur review dengan empat tahapan penelitian yaitu, 1. Merumuskan permasalahan; 2. Penelusuran literatur; 3. Evaluasi data hasil penelusuran literatur; 4. Menganalisis dan menginterpretasi data hasil penelusuran Hasil : Berdasarkan hasil penelusuran, artikel jurnal pertama yang membahas tentang penggunaan (Decision Support System) DSS pada bidang geografi berjudul “An ontology-based web decision support system to find entertainment points of interest in an urban area. Pada artikel tersebut dijelaskan bahwa selama ini lembaga yang bertanggung jawab atas pemulihan tanggul sungai berorientasi pada tingkat urgensi. Sehingga pekerjaan restorasi tanggul biasanya hanya dilakukan setelah terjadinya banjir, tanpa memperhatikan skala prioritas yang lengkap. Peningkatan efek dari penggunaan DSS di bidang pertanian dilakukan dengan menggabungkan teknologi big data untuk melakukan data mining data pertanian secara lebih presisi dan dianalisis dengan algoritma pohon keputusan untuk memproses klasifikasi data. Kesimpulan: Dari hasil analisis 10 jurnal terbaru, diketahui bahwa DSS di bidang geografi digunakan untuk hal-hal seperti penentuan destinasi wisata, pengelolaan resiko banjir, peningkatan industri pertanian, penggunaan dalam system informasi geografis, keamanan operasionalisasi drone, menentukan pemilihan lahan dan jual – beli real estate, pemantauan kualitas dan resiko pencemaran air, serta penentuan pembangunan kembali brownfield. Hal itu menunjukkan bahwa penggunaan DSS di bidang geografi diyakini dapat memberikan berbagai manfaat signifikan bagi penentu kebijakan dalam mengambil keputusan. Manfaat dari penggunaan DSS ini diharapkan juga dapat dirasakan pada seluruh aspek kehidupan untuk membantu manusia dalam mengelola sumber daya yang tersedia secara lebih efektif dan efisien yang didasarkan pada data yang valid

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“…org/3/i3794en/I3794en.pdf, accessed on 11 February 2022). According to the approach of forest accessibility [5], the study area was classified as barely accessible.…”

Section: Materials 11 Study Areamentioning

confidence: 99%

“…Most geomatic techniques (conventional traverse surveying and GNSS [1], LiDAR [2], photogrammetry [3], remote sensing [4], geographical information systems [5]) have been used, in recent years, to characterize forests' and trees' planimetric positions. In particular, the development of remote sensing technology in recent decades has been revolutionary for forestry applications (acronyms and symbols are reported in Appendix A).…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Sampling Area across an Old-Growth Forest via UAV-Borne Laser Scanning, GNSS, and Radial Surveying

Sferlazza

Maltese

Dardanelli

et al. 2022

IJGI

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Aboveground biomass, volume, and basal area are among the most important structural attributes in forestry. Direct measurements are cost-intensive and time-consuming, especially for old-growth forests exhibiting a complex structure over a rugged topography. We defined a methodology to optimize the plot size and the (total) sampling area, allowing for structural attributes with a tolerable error to be estimated. The plot size was assessed by analyzing the semivariogram of a CHM model derived via UAV laser scanning, while the sampling area was based on the calculation of the absolute relative error as a function of allometric relationships. The allometric relationships allowed the structural attributes from trees’ height to be derived. The validation was based on the positioning of a number of trees via total station and GNSS surveys. Since high trees occlude the GNSS signal transmission, a strategy to facilitate the positioning was to fix the solution using the GLONASS constellation alone (showing the highest visibility during the survey), and then using the GPS constellation to increase the position accuracy (up to PDOP~5−10). The tree heights estimated via UAV laser scanning were strongly correlated (r2 = 0.98, RMSE = 2.80 m) with those measured in situ. Assuming a maximum absolute relative error in the estimation of the structural attribute (20% within this work), the proposed methodology allowed the portion of the forest surface (≤60%) to be sampled to be quantified to obtain a low average error in the calculation of the above mentioned structural attributes (≤13%).

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Forest accessibility, Madonie mountains (northern Sicily, Italy): implementing a GIS decision support system

Cited by 7 publications

References 24 publications

A Review on Multi-GNSS for Earth Observation and Emerging Applications

A Review on Multi-GNSS for Earth Observation and Emerging Applications

Implementasi Decision Support System di Bidang Data Spasial: Systematic Literature Review

Optimizing the Sampling Area across an Old-Growth Forest via UAV-Borne Laser Scanning, GNSS, and Radial Surveying

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