Urban green infrastructure health assessment, based on landsat 8 remote sensing and entropy landscape metrics

Chang, Matthew C.; Zhao, Zhiqing; Chang, Hsiao-Tung; Bo, Shu

doi:10.1080/22797254.2021.1948357

Cited by 8 publications

(2 citation statements)

References 18 publications

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“…We have analyzed the works of recent years on the study of green zones of urban areas located in different geographical zones. They are mostly dedicated to the quantification of green zones, their determination, and mapping, annual and multi-year dynamics of the amount of biomass (Bessonova V., 2019;Buchavyi, 2023;Erdoğan, 2022;Mu-En Chang, 2021;Podaliuk D., 2021;Reimuth, 2023). However, the comparison of remotely received data with on-site research of biomass state assessment is less extensive and widespread, which is related to the complexity and time-consuming nature of such works (Bihuňová, 2021).…”

Section: Introductionmentioning

confidence: 99%

Geoecological analysis of the state of forest park plantations in the Dnipro city using Landsat satellite images

Serdiuk,

Dovhanenko,

Okhotnyk

et al. 2024

Journ. Geol., Geogr., and Geoec..

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The importance of the number and viability of green areas for creating a com- fortable and safe life for residents of urbanized areas is increasing with the growth of cities, which has not stopped since the first half of the 20th century. Dnipro is a city with progressive air pollution, therefore the effective use of its green areas in this aspect – the selection of tree species, regular assessment of their condition and timely response to changes in vegetative activity – becomes especially relevant. To solve the research task, a combination of on-site and remote methods of assessing the vital state of green areas of the city was chosen. First, spatial and statistical information about the city’s green areas was defined and summarized, and a cartographic and statistical base of raw data was created, potential anthropogenic factors of influence were determined, and reference areas were selected. At the second stage, a systematic survey and assessment of the vital state of the trees of selected areas was carried out for seven years: morphometric indicators of trees of certain species and assessment of the state of their morphological elements (roots, trunk, crown, leaves). According to the degree of damage, trees were classified as: healthy, weakened (damaged), severely weakened; dying and dead. At the third stage of the study, the correlation of the vital state indicator (Ln) and the normalized vegetation index (NDVI) was determined, based on images from Landsat sensors 8 and 9 of the L1 processing level, pre-processing of the images was performed using the SCP (Semi-automatic Classification Plugin) module integrated in QGIS. According to the results of on-site research, it was found that for the period 2015-2021, most parks and squares of the control group belong to the second category (weakened), three to the first (healthy) and one to the third (severely weakened). The main types of damage have been identified as well as species of trees that are most susceptible to damage. The dynamics of vegetation activity indicators reflect the general tendency to increase the vegetation cover of the city for six years. According to the results of the correlation analysis of NDVI and Ln values, a stable dependence between the index of vital state and the normalized vegetation index was revealed. The correlation between the specified indicators for each particular year is direct and varies from 0.5 to 0.9. The vital state of forest park plantations in Dnipro city is at a satisfactory level. The average Ln for the entire city is 65.6%. It was concluded that the exploitation of the gas-absorbing capacity of plants must be carried out in combination with technical measures in order to activate the processes of improving the environment.

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Section: Introductionmentioning

confidence: 99%

Geoecological analysis of the state of forest park plantations in the Dnipro city using Landsat satellite images

Serdiuk,

Dovhanenko,

Okhotnyk

et al. 2024

Journ. Geol., Geogr., and Geoec..

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“…Chang et al, 2021). NDVI = ( Near-infrared -RED) / (Near-infrared + RED) (3) NDVI = ( Band 5 -Band 4 ) / ( Band 5 + Band 4)3.4.…”

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confidence: 99%

Assessment of the Impact of Climate Change on Soil Moisture Using Remote Sensing and Geographic Information Systems

Meghraoui

Mohamed

2023

Preprint

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Studying the relationship between the Soil Moisture Index (SMI) and climate change is crucial, as it provides insights into the impacts of changing climatic conditions on soil moisture dynamics and hydrological processes. Our main objective in this study is to evaluate soil moisture variations in the El Mefrouche watershed in northwestern Algeria, based on changes in climatic parameters such as precipitation and temperature over a period of five years. To achieve this objective, we will use Landsat 8 satellite.images for each year of the study period. The study uses a Soil Moisture Index (SMI) to analyze satellite images taken on five different dates. The results show that on 02/01/2019, the soil moisture was very high (SMI from 0.8 to 1) covering an area of 309.67 hectares, whereas on 12/30/2017, the soil moisture was very low (SMI from 0.8 to 1) covering only an area of 65.46 hectares. The driest SMI values (0 to 0.2) were recorded on 12/30/2017, covering the largest area of 1809.37 hectares, indicating that the soil was very dry in a large part of the watershed. What is really confirmed after analyzing the climatic data for the cited period.

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The seeds of ecological recovery in urbanization – Spatiotemporal evolution of ecological resiliency of Dianchi Lake Basin, China

Yang

et al. 2023

Ecological Indicators

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Urban green infrastructure health assessment, based on landsat 8 remote sensing and entropy landscape metrics

Cited by 8 publications

References 18 publications

Geoecological analysis of the state of forest park plantations in the Dnipro city using Landsat satellite images

Geoecological analysis of the state of forest park plantations in the Dnipro city using Landsat satellite images

Assessment of the Impact of Climate Change on Soil Moisture Using Remote Sensing and Geographic Information Systems

The seeds of ecological recovery in urbanization – Spatiotemporal evolution of ecological resiliency of Dianchi Lake Basin, China

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