Identification of the impact of vegetation cover changes and the development of urban areas on Urban Heat Island using GIS and remote sensing: A case studies of Sleman regency, Province of Yogyakarta

Dewantoro, Bayu Elwantyo Bagus; Khafid, Mohammad Abdul; Putra, Akhbar; Wicaksono, Arief; Andita, F W

doi:10.1088/1757-899x/1098/5/052023

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…For instance, data-driven decision-making using advanced analytics can identify ideal locations for BGI features like rain gardens and permeable pavements, addressing specific environmental challenges effectively. Geographic Information Systems (GIS) and mapping tools aid in visualizing flood-prone areas [86][87][88] and heat islands [89][90][91] , enabling targeted BGI interventions. Through websites, social media, and mobile apps, public engagement and communication efforts inform residents about BGI benefits, encouraging community participation and support [48] .…”

Section: Digital Advancement and Researchmentioning

confidence: 99%

Global insights, local realities: BGI challenges and opportunities in Indian urbanization

Sehrawat,

Shekhar

2024

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<p>This study provides a global perspective on the status of Blue-Green Infrastructure (BGI) and investigates the challenges and opportunities associated with its implementation in the urban landscape of India. The research delves into the multifaceted realm of BGI by first elucidating its current status worldwide. It explores how cities globally, amidst expanding urbanization and escalating environmental challenges, have recognized the importance of BGI as a pivotal strategy. The paper then narrows its focus to the specific challenges and opportunities confronting Indian cities in the adoption and integration of BGI. By conducting a comprehensive analysis of existing literature, global policy frameworks, and pertinent case studies, the study aims to unravel the complex interplay that governs BGI implementation in the Indian urban context. This dual approach ensures a nuanced understanding of both the global context and the specific challenges and opportunities faced by urban India in the realm of Blue-Green Infrastructure.</p>

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Section: Digital Advancement and Researchmentioning

confidence: 99%

Global insights, local realities: BGI challenges and opportunities in Indian urbanization

Sehrawat,

Shekhar

2024

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“…Mapping the extent of mangrove forests by utilizing remote sensing technology can provide information or an overview in the form of a map of the distribution of mangrove forest areas in an area [7]. Google Earth Engine (GEE) is a web-based platform that is accessed online based on cloud computing and can run GIS IOP Publishing doi:10.1088/1755-1315/1315/1/012042 2 processes in the form of scripts that are made and can produce analysis according to the desired search [8]. The use of this technology makes it possible to temporally analyze location data through image capture.…”

Section: Introductionmentioning

confidence: 99%

Carbon stock estimation based on remote sensing in the northern coast of Java

Adni,

Asy’Ari,

Raihan

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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Mangroves are one of the land covers on the earth’s surface that being the largest storage of carbon reserves compared to other land covers. On the other hand, quick and accurate monitoring of carbon stocks on the earth’s surface is needed. This research was conducted on the northern coast of Java and used a flexible and efficient cloud computing-based remote sensing approach by using satellite imagery data. We identify land cover classification, especially mangrove, uses the Support Vector Machine (SVM) algorithm through the GEE (Google Earth Engine) platform. The estimated value of mangrove carbon was obtained from the NDVI index (Normalized Difference Vegetation Index) analysis on sentinel-2 images. The results showed that the estimated carbon value was 1,232,311.496 tones. Strong relationship is found between NDVI and carbon stocks with R2 of 98%. The study, therefore, strongly suggests the further use of NDVI to assess and monitor carbon stocks from mangroves in the future.

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“…Pemilihan penggunaan ini seperti yang dipaparkan oleh (Yang et al, 2017)bahwa dalam Google Earth Engine memperingkas pengelolaan sumberdaya EO yang berskala global. Lebih lanjut (Dewantoro et al, 2021)menyebutkan bahwa mekanisme pengelolaan citra yang telah tersedia ini akan dibantu dengan script sesuai dengan kebutuhan analisis yang akan digunakan.…”

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Karakteristik Erosi Lahan pada Sub DAS Bedadung Hulu dan Tengah

Cendikia,

Rudiyanto,

Septiana

et al. 2022

MPG

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Penelitian ini bertujuan untuk melihat bagaimana kondisi erosi pada setiap jenis tutupan lahan berbasis cloud computing pada Google Earth Engine (GEE). Dengan kondisi area yang divisualisasikan pada Google Earth Engine, maka akan ditinjau secara langsung bagaimana kondisi vegetasi dan erosi yang sebenarnya di lapangan. Penelitian ini dilakukan di Sub DAS Bedadung Bagian Atas dan Tengah dengan pengambilan sampel dilakukan dengan menentukan 10 Titik Kebenaran Tanah (GTP) yang tersebar merata sebanyak 5 titik kebenaran tanah pada masing-masing wilayah hulu dan tengah DAS. . Sampel tanah diambil sebanyak 3 sampel tanah dengan rincian kedalaman 0-20 cm, 20-40 cm, dan 20-60 cm atau lebih. Kemudian indikator yang digunakan adalah sifat fisik tanah berupa tekstur dan struktur tanah, serta sifat kimia tanah untuk pH tanah. struktur tanahnya masif atau bertekstur liat, sehingga sulit ditembus akar. Tekstur tanah di lokasi pengambilan sampel adalah tekstur tanah lempung liat. Erosi hulu didominasi oleh jenis erosi parit terutama pada lereng sungai yang terus menerus akibat pengaruh faktor kemiringan lereng, dan aliran sungai akibat intensitas curah hujan yang tinggi. Sedangkan erosi di bagian tengah memiliki tingkat erosi lereng yang rendah karena aliran sungai yang tidak terlalu deras dan sedimentasi yang tinggi.

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Identification of the impact of vegetation cover changes and the development of urban areas on Urban Heat Island using GIS and remote sensing: A case studies of Sleman regency, Province of Yogyakarta

Cited by 4 publications

References 8 publications

Global insights, local realities: BGI challenges and opportunities in Indian urbanization

Global insights, local realities: BGI challenges and opportunities in Indian urbanization

Carbon stock estimation based on remote sensing in the northern coast of Java

Karakteristik Erosi Lahan pada Sub DAS Bedadung Hulu dan Tengah

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