Changes in Vegetation Cover in Reforested Areas in the State of São Paulo, Brazil and the Implication for Landslide Processes

Canavesi, Vanessa; Alvalá, Regina Célia dos Santos

doi:10.3390/ijgi1020209

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…Kondisi tersebut diperparah dengan deforestasi yang terjadi yaitu penebangan hutan untuk dijadikan lahan pertanian. Berkurangnya vegetasi hutan akibat deforestasi, yang memiliki daya cengkeram akar yang kuat di daerah dataran tinggi dengan kelerengan yang curam serta berfungsi sebagai daerah resapan air akan mempercepat terjadinya erosi tanah (Canavesi & Alvalá, 2012).…”

Section: Pendahuluanunclassified

Leadership Style of Local Actors in Community Development and Empowerment

Ery Purwanti,

Dwiningtyas Padmaningrum,

LV Ratna Devi Sakuntala

2023

IJSRR

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Introduction: Tambi Village is one of the villages in Kejajar District which has a high disaster vulnerability index, high landslide vulnerability, high disaster capacity index, and high landslide capacity with a relatively wide area (BPBD Wonosobo, 2018). Starting from concern about such conditions, one of the residents of Tambi Village moved to innovate in agriculture by planting coffee plants on barren land. Most community plants grow horticultural crops that cannot store water and cannot grow properly with the presence of protective plants in the vicinity, so they are prone to landslides during the rainy season. The main purpose of coffee cultivation is to preserve nature and increase the welfare of the community with the coffee yield. The purpose of the study: to determine the leadership/role of Mr. Romadhon as a local actor in developing and empowering the Tambi Village community. Methods: descriptive research with interviews and literature study conducted in Tambi Village, by determining the information provider by purposive or judgmental sampling. Research time 15 June 2022. Data collection by interview, observation, and documentation. Results: the role of local actors in community empowerment is very significant and their roles: (1) Initiate (initiator), (2) Provide motivation (motivator), (3) Coordinate (coordinator), (4) Make plans (planner), (5) Carry out facilitation (Facilitator), and (6) Conduct communication and relations (Communicator), (7) Provide education (Educator) and (8) As a deliberation (Negotiator). Conclusion: leadership/role of local actors in empowering the Tambi Village community as initiator, motivator, coordinator, planner, facilitator, communicator, educator, and negotiator.

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Section: Pendahuluanunclassified

Leadership Style of Local Actors in Community Development and Empowerment

Ery Purwanti,

Dwiningtyas Padmaningrum,

LV Ratna Devi Sakuntala

2023

IJSRR

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“…J. Geo-Inf. 2017, 6, 347 2 of 16 factors and landslides, not only avoid the dependence of mechanical models on high-precision data, but also reduce the subjectivity brought by expert evaluation statistical methods [8,9]. The statistical methods include the weighted liner combination model (WLC) [10,11], the logistic regression model [12][13][14], fuzzy synthetic evaluation model [15,16], and neural network model [17,18].…”

Section: Introductionmentioning

confidence: 99%

Variable-Weighted Linear Combination Model for Landslide Susceptibility Mapping: Case Study in the Shennongjia Forestry District, China

Chen

Han

Huang

et al. 2017

IJGI

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A landslide susceptibility map plays an essential role in urban and rural planning. The main purpose of this study is to establish a variable-weighted linear combination model (VWLC) and assess its potential for landslide susceptibility mapping. Firstly, different objective methods are employed for data processing rather than the frequently-used subjective judgments: K-means clustering is used for classification; binarization is introduced to determine buffer length thresholds for locational elements (road, river, and fault); landslide area density is adopted as the contribution index; and a correlation analysis is conducted for suitable factor selection. Secondly, considering the dimension changes of the preference matrix varying with the different locations of the mapping cells, the variable weights of each optimal factor are determined based on the improved analytic hierarchy process (AHP). On this basis, the VWLC model is established and applied to regional landslide susceptibility mapping for the Shennongjia Forestry District, China, where shallow landslides frequently occur. The obtained map is then compared with a map using the traditional WLC, and the results of the comparison show that VWLC is more reasonable, with a higher accuracy, and can be used anywhere that has the same or similar geological and topographical conditions.

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Time-series metrics applied to land use and land cover mapping with focus on landslide detection

Uehara

Körting

Soares³

et al. 2022

J. Appl. Rem. Sens.

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Landslides are a recurring phenomenon in Brazil and have caused many socioeconomic losses and casualties. To monitor them, land use and land cover (LULC) and landslide inventory maps are essential to identifying high susceptibility areas. In this sense, the main aim of this study is to produce LULC classification focused on landslide detection via semi-automatic methods, using data mining techniques with remote sensing time-series imagery. For that, different indices, such as the normalized difference vegetation index, the normalized difference built-up index (NDBI), and the soil adjusted vegetation index were extracted from Sentinel-2 imagery. Basic, polar, and fractal metrics were extracted from the time series. From the Shuttle Radar Topography Mission digital elevation model, six geomorphometric features were extracted. Then, classification was performed with random forest with four different approaches: mono-temporal, bi-temporal, metrical, and all. In every approach, the NDBI index or metric derived from it presented the highest importance, and the slope was ranked among the six first predictors. The all approach showed the highest overall accuracy (OA) (88.96%), followed by metrical (87.90%), bi-temporal (82.59%), and mono-temporal (74.95%). Briefly, the metrical approach presented the most beneficial result, presenting high OA and low levels of commission and omission errors.

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Changes in Vegetation Cover in Reforested Areas in the State of São Paulo, Brazil and the Implication for Landslide Processes

Cited by 3 publications

References 25 publications

Leadership Style of Local Actors in Community Development and Empowerment

Leadership Style of Local Actors in Community Development and Empowerment

Variable-Weighted Linear Combination Model for Landslide Susceptibility Mapping: Case Study in the Shennongjia Forestry District, China

Time-series metrics applied to land use and land cover mapping with focus on landslide detection

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