scholarly journals PEMANFAATAN TRANSFORMASI NORMALIZED DIFFERENCE VEGETATION INDEX(NDVI) CITRA LANDSAT TM UNTUK ZONASI VEGETASI DI LERENG MERAPI BAGIAN SELATAN

2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Ardi Arnanto
Keyword(s):  
Random Sampling ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat Tm ◽  
Stratified Random Sampling ◽  
Area Sampling

Penelitian ini berusaha untuk mengetahui pengaruh variasi jenis vegetasi,kerapatan tegakan, dan umur vegetasi terhadap informasi spektral vegetasi pada citradigital Landsat TM di Daerah Lereng Merapi Bagian Selatan. Tujuan yang dirumuskandalam penelitian ini adalah untuk (1) mengkaji jenis, kerapatan tegakan, dan umur tegakanvegetasi berdasarkan nilai kecerahan piksel pada citra tranformasi (NDVI) data digitalLandsat TM; (2) membuat zonasi vegetasi berdasarkan data digital Landsat TM. Metodeyang digunakan dalam penelitian ini adalah transformasi indeks vegetasi dan kerjalapangan, sedangkan untuk pengambilan sampel digunakan metode stratified randomsampling dan area sampling. Stratified random sampling didasarkan atas pengelompokkannilai piksel pada citra transformasi indeks vegetasi, sedangkan area sampling digunakankarena nilai kecerahan pada data digital penginderaan jauh diujudkan dalam nilai piksel.Pemilihan sampeldengan mempertimbangkan jenis vegetasi dan kemudahan untukdijangkau. Hasil penelitian yang diperoleh menunjukkan hubungan yang nyata antara nilaiindeks vegetasi (NDVI) dengan variasi jenis vegetasi yang dapat digunakan sebagai dasarklasifikasi vegetasi. Sedangkan parameter kerapatan tegakan dan umur vegetasimempunyai korelasi yang bersifat positif terhadap nilai indeks vegetasi (NDVI).Berdasarkan eratnya hubungan ini dapat dibuat citra atau peta distribusi kerapatantegakan dan umur vegetasi. Secara umum tingkat ketelitian klasifikasi jenis vegetasisebesar 93%, sedangkan untuk kerapatan tegakan dan umur vegetasi mempunyai tingkatketelitian sebesar 71% dan 76%.Kata kunci: Transformasi NDVI, Landsat TM, Vegetasi

scholarly journals Variação Espacial e Temporal de NDVI na Lagoa do Peixe, RS (Spatial and Temporal Variation of NDVI in the Peixe Lagoon, RS)

2012 ◽  
Vol 4 (5) ◽  
pp. 897 ◽  
Author(s):  
Luana Portz ◽  
Laurindo Antonio Guasselli ◽  
Iran Carlos Stalliviere Corrêa
Keyword(s):  
Time Series ◽  
Temporal Variation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Analysis Data ◽  
Landsat Tm ◽  
Spatial And Temporal Variation ◽  
Rainfall Analysis ◽  
Ndvi Time Series ◽  
High Precipitation

Neste estudo foram analisadas as variações espaciais e temporais do Índice de Vegetação por Diferença Normalizada (NDVI) na lagoa do Peixe, no litoral do Rio Grande do Sul. Para alcançar o objetivo proposto foram utilizadas imagens de satélite Landsat TM5, entre os anos de 1986 e 2009, seguindo os procedimentos de elaboração de mosaico das cenas, verificação de campo, geração das imagens de NDVI, análise de dados de precipitação acumulada, geração dos mapas finais e análise qualitativa dos resultados obtidos. Os resultados obtidos com a geração de imagens de NDVI mostraram que a análise espaço-temporal associada aos dados de precipitação fornecem informações de valiosa importância sobre a dinâmica da lagoa do Peixe. A importância  do NDVI neste estudo se destaca pelo contraste existente entre água e vegetação, realçando os diferentes níveis de água sobre os bancos vegetados presentes na borda oeste da lagoa. Estes bancos são um importante controlador da dinâmica de circulação lagunar, onde em períodos de seca ocorre a compartimentação da lagoa, enquanto que em épocas de grande precipitação e acumulação de água estes bancos ficam submersos. Palavras-chave: Landsat TM, série temporal, Parque Nacional.  Spatial and Temporal Variation of NDVI in the Peixe Lagoon, RS  ABSTRACTThis paper analyzed the spatial and temporal variation of Normalized Difference Vegetation Index (NDVI) in the Peixe lagoon. To reach the purpose,  the NDVI time-series were collected from the study area between year 1986 and 2009 derived from Landsat TM5 satellite. The adopted methodology may be subdivided into the following steps: mosaic of scenes, fild verification, generation of NDVI time-series and qualitative analysis, in addition, it was complemented with rainfall analysis.  The results obtained with the NDVI time-series associated with the rainfall analysis data provide valuable information about the environmental dynamics. The importance of NDVI in this work is given by the contrast between water and vegetation, highlighting the different levels of water over vegetated banks present on the western edge of the lagoon. These banks are an important driver circulation in the lagoon, where in periods of drought occurs the partitioning of the lagoo, while in periods of high precipitation and accumulation of water they are submerged.    Keywords: Landsat TM, time-series, National Park.

scholarly journals Assisted learning and auditory intellectual repetition for pupil’s mastery in undha usuk

2018 ◽  
Vol 2 (1) ◽  
pp. 13-25
Author(s):  
Siti Wahyuni ◽  
Slamet Subiyantoro ◽  
Siti Sutarmi Fadhilah
Keyword(s):  
Random Sampling ◽  
Learning Model ◽  
Fifth Grade ◽  
Cluster Sampling ◽  
Stratified Random Sampling ◽  
Sampling Area ◽  
School Students ◽  
Area Sampling ◽  
Inferential Analysis ◽  
Teaching Learning

ASSISTED LEARNING DAN AUDITORY INTELLECTUALLY REPETITION UNTUK PENGUASAAN UNDHA USUK SISWAAbstrakPenelitian ini bertujuan untuk mengetahui keefektifan model assisted learning dan model auditory intellectualy repetition (AIR) terhadap penguasaan undha usuking basa bahasa Jawa pada peserta didik sekolah dasar kelas lima di Sragen. Metode penelitian ini adalah eksperimen. Pengambilan sampel penelitian menggunakan teknik cluster sampling (area sampling) selanjutnya dengan teknik proportionate stratified random sampling berdasarkan nilai akreditasi sekolah antara akreditasi A dan B. Pengumpulan data mengunakan teknik observasi, wawancara, tes, dan dokumentasi. Analisis data dalam penelitian ini menggunakan analisis statistik deskriptif dan inferensial dengan teknik independent samples test. Hasil penelitian menunjukkan terdapat perbedaan keefektifan penggunaan model assisted learning dan AIR terhadap pengguasaan undha usuking basa. Model assisted learning lebih efektif daripada model AIR. Dengan mengkolaborasikan antara hasil analisis deskriptif dan inferensial, diketahui bahwa model assisted learning lebih efektif daripada menggunakan model AIR untuk pembelajaran undha usuking basa. Guru hendaknya menerapkan model pembelajaran assisted learning untuk meningkatkan penguasaan undha usuking basa bahasa Jawa. AbstractThis study was aimed at determining the effectiveness of THE assisted learning model and Auditory Intellectual Repetition (AIR) model on the mastery of undha usuking basa of the fifth-grade elementary school students in Sragen. The study used the experimental method. The samples were chosen using cluster sampling and proportionate stratified random sampling techniques based on the school accreditation status between A and B. The data were collected using observation, interview, test, and documentation. The data were analyzed using descriptive and inferential statistical analyses with independent samples tests. The results show differences between the assisted learning model and AIR model toward the comprehension of undha usuking basa. By collaborating between descriptive and inferential analysis results, it shows that the assisted learning model is more effective than the AIR model for undha usuking basa learning. It can be concluded that the teachers should apply the assisted learning model in the teaching learning process to improve the undha usuking basa comprehension of the students.

scholarly journals Analisis Spasial Ruang Terbuka Hijau (RTH) untuk Penanganan Perubahan Iklim di Kota Ambon

2017 ◽  
Author(s):  
Jan Willem Hatulesila ◽  
Gun Mardiatmoko ◽  
Jusuph Johanis Wattimury
Keyword(s):  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Landsat Tm

Tata ruang perkotaan dengan arsitektur Ruang Terbuka Hijau (RTH) merupakan komponen lansekap yang sangat mempengaruhi udara perkotaan baik langsung maupun tidak langsung. Standar ideal luasan minimum ruang terbuka hijau yakni minimal 30 % dari total luas kota. Sejauhmana pola penataan ruang kota yang berhubungan dengan perencanaan RTH dan indikator penataan ruang secara spasial dapat dianalisis menggunakan data citra satelit Landsat TM - 8 Tahun 2017 dan Sistem Informasi Geografis (SIG). Kawasan RTH Kota Ambon hasil analisis spasial seluas ± 1,115,900 m2 atau 111,59 ha meliputi Kelurahan Honipopu ± 436,300 m2 atau 43,63 ha; Kelurahan Ahusen, ± 286,500 m2 atau 28,65 ha dan Kelurahan Uritetu ± 393,100 m2 atau 39,31 ha. Pengukuran dan penetapan sembilan lokasi sampling secara purposif dengan luasan ± 25,408.59 m2 atau 2,54 ha atau 2,28 %. Analisis NDVI (Normalized Difference Vegetation Index) untuk tutupan lahan bervegetasi (nilai indeks vegetasi 0,05 – 0,35) seluas 61,58 ha atau 58,31 %, diikuti tutupan lahan terbangun (nilai indeks vegetasi 0,00 – 0,35) seluas 39,63 ha atau 37, 52 % dan tutupan lahan kosong (nilai indeks vegetasi 0,00 – 0,05) seluas 4,40 ha atau 4,17 %. Hasil analisis regresi, uji anova sebesar 0,95 atau 95 %, mampu mejelaskan bahwa hubungan tutupan vegetasi dengan nilai indeks kehijauan mempunyai pengaruh terhadap keseluruhan kondisi tutupan vegetasi pada kawasan RTH di Kota Ambon.

scholarly journals KARAKTER DAN SEBARAN DUKUH DI KECAMATAN KARANG INTAN DAN PENGARON

2021 ◽  
Vol 4 (3) ◽  
pp. 452
Author(s):  
Khairunisa Khairunisa ◽  
Ahmad Jauhari ◽  
Hafiziannor Hafiziannor
Keyword(s):  
Random Sampling ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Sampling Methods ◽  
Sampling Point ◽  
Land Utilization ◽  
Average Income ◽  
Purposive Sampling ◽  
Index Analysis ◽  
Well Data

Banjar Regency-South Kalimantan is found in the land utilization system by implementing a Dukuh (Fruit orchard) system including Karang Intan Sub-district and Archion. This system has a considerable influence on the environment and public income. But the data on the character and distribution of the Dukuh has not been well-data, therefore carried out the research of character and distribution of Dukuh in the district of Karang Intan and archion. The purpose of this research is to know the distribution and character of the Dukuh. The methods used in the research are NDVI analysis (Normalized Difference Vegetation Index), analysis of interchanges, random sampling points, and interviews with the community by purposive sampling methods. Based on the results of the analysis obtained the number of Dukuh in the district of Coral Diamond as much as 7,086 and District Archion 12,092. In The Sub-district of Karang Intan and the archion has 12 kinds of fruit Dengan and 11 kinds of fauna diversity in it and average income management Dukuh ranging from Rp.3.000.000 to Rp.5.000.000.Kabupaten Banjar-Kalimantan Selatan banyak ditemui sistem pemanfaatan lahan dengan menerapkan sistem dukuh (kebun buah) diantaranya Kecamatan Karang Intan dan Pengaron. Sistem ini memberikan pengaruh cukup besar terhadap lingkungan dan pendapatan masyarakat. Namun data mengenai karakter dan sebaran dukuh belum terdata dengan baik, maka dari itu dilakukan penelitian Karakter dan Sebaran dukuh di Kecamatan Karang Intan dan Pengaron. Tujuan dari penelitian ini untuk mengetahui persebaran dan karakter dari dukuh. Metode yang digunakan dalam penelitian adalah Analisis NDVI (Normalized Difference Vegetation Index), Analisis tumpang susun, random sampling point, dan wawancara dengan masyarakat dengan metode purposive sampling. Berdasarkan hasil analisis didapatkan jumlah persebaran dukuh dikecamatan karang intan sebanyak 7.086 dan kecamatan pengaron 12.092. Pada kecamatan Karang Intan dan Pengaron memiliki 12 macam jenis buah dengan 11 macam keanekaragaman fauna didalamnya dan penghasilan rata-rata pengelola dukuh berkisar Rp.3.000.000 sampai dengan Rp.5.000.000

scholarly journals Spatial autocorrelation of ndvi and gvi indices derived from landsat/tm images for soybean crops in the western of the state of Paraná in 2004/2005 crop season

2013 ◽  
Vol 33 (3) ◽  
pp. 525-537 ◽  
Author(s):  
Gustavo H. Dalposso ◽  
Miguel A. Uribe-Opazo ◽  
Erivelto Mercante ◽  
Rubens A. C. Lamparelli
Keyword(s):  
Spatial Autocorrelation ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
The State ◽  
Landsat Tm ◽  
Crop Season ◽  
Yield Data ◽  
Green Vegetation ◽  
Crop Cycle ◽  
Global And Local

This research aims at studying spatial autocorrelation of Landsat/TM based on normalized difference vegetation index (NDVI) and green vegetation index (GVI) of soybean of the western region of the State of Paraná. The images were collected during the 2004/2005 crop season. The data were grouped into five vegetation index classes of equal amplitude, to create a temporal map of soybean within the crop cycle. Moran I and Local Indicators of Spatial Autocorrelation (LISA) indices were applied to study the spatial correlation at the global and local levels, respectively. According to these indices, it was possible to understand the municipality-based profiles of tillage as well as to identify different sowing periods, providing important information to producers who use soybean yield data in their planning.

Transformation in Vegetation and Urban Sprawl in Gotan and Surrounding

2021 ◽  
pp. 111-124
Author(s):  
Rizwan Ahmad ◽  
Ramaraju Sudarshana
Keyword(s):  
Urban Sprawl ◽  
Vegetation Cover ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Time Series Data ◽  
Driving Forces ◽  
Landsat Tm ◽  
Series Data ◽  
Monitoring Frequency ◽  
Government Sector

The main driving forces associated with transformation of vegetation cover and urban sprawl, are undoubtedly climate change and human intervention. Finding the truth behind transformation of Gotan, Rajasthan Landsat TM/ETM+ data of the years 1987,1990, 1995, 2000, 2003, 2010, 2015, and 2018 were used. These time series data comprising total of nine scenes were selected to measure the urban and green cover transformation in the past four decades. Landsat TM/ETM+ data were used because it is inexpensive, with high monitoring frequency and covers large areas. The Normalized Difference Vegetation Index (NDVI) of 1987–2018, derived from the remote sensing dataset along with the application of statistical methods and GIS techniques, were used to quantify vegetation cover change. The results show that human-induced factors can explain most variations at sites with significant cover change. It has been a well-known fact that sustainable development presents a system in order to accomplish economic growth, bring about social justice, implement environmental awareness and most certainly the fortification of government sector.

scholarly journals Semivariogram analysis of Landsat 5 TM textural data for loblolly pine forests

2012 ◽  
Vol 51 (No. 2) ◽  
pp. 47-59 ◽  
Author(s):  
J. Zawadzki ◽  
Cieszewski Ch J ◽  
M. Zasada
Keyword(s):  
Loblolly Pine ◽  
Vegetation Index ◽  
Near Infrared ◽  
Normalized Difference Vegetation Index ◽  
Longleaf Pine ◽  
Pinus Palustris ◽  
Landsat Tm ◽  
Spatial Correlations ◽  
Semivariogram Analysis ◽  
Landsat 5 Tm

The objective of this study was to evaluate the applicability of Landsat 5 TM images for analysing the textural information on pine forest stands in western Georgia, United States. Analysing spatial correlations between pixels measured by semivariances and cross-semivariances (cross-correlation between two radiometric bands) calculated from transects of Landsat TM images, we explored differences between semivariances associated with images of stands of various ages, origins (natural vs. planted) and species (loblolly pine – Pinus taeda L. – versus longleaf pine – Pinus palustris Mill.). We analysed both ground measurements and the satellite images using the visible, the near infrared, and the middle-infrared bands. We also analysed semivariances and cross-semivariances calculated from the Normalized Difference Vegetation Index and the Ratio Vegetation Index. The results showed that in spite of the relatively low Landsat TM spatial resolution (30m) the semivariograms and cross-semivariograms provided potentially useful information about the above-mentioned classes. The semivariances and cross-semivariances calculated from Landsat TM images of loblolly pine stands depend both on the age and the stand origin. In particular, large differences exist in semivariance and cross-semivariance sills. Significant differences also exist between semivariances calculated from stands of loblolly and longleaf pine.

scholarly journals Quantitative Retrieval of Soil Salinity Using Landsat 8 OLI Imagery

2021 ◽  
Vol 11 (23) ◽  
pp. 11145
Author(s):  
Ruolin Dong ◽  
Xiaodong Na
Keyword(s):  
Soil Moisture ◽  
Soil Salinity ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Soil Salinization ◽  
Landsat Tm ◽  
Landsat 8 ◽  
Entire Study ◽  
Field Samples ◽  
Spatial Differences

Soil salinization is the main reason for declining soil quality and a reduction in agricultural productivity. We derive the spatial distribution of soil moisture from the temperature vegetation dryness index (TVDI) of Landsat TM-8 OLI images to analyze the effect of spatial heterogeneity of soil moisture on the retrieval accuracy of soil salinity. We establish five soil salinity inversion models for different soil moisture levels (drought levels) based on the canopy response salinity index (CRSI), normalized difference vegetation index (NDVI), and automatic water extraction index (AWEI) derived from Landsat TM-8 OLI images. The inversion accuracy of soil salinity is assessed using 42 field samples. The results show that the average accuracies of the five inversion models are higher than that of the traditional soil salinity inversion model of the entire study area. The proposed model underestimates soil salinity in high-moisture areas and overestimates it in drought areas. Therefore, inversion models of soil salinization should consider spatial differences in soil moisture to improve the inversion accuracy.

scholarly journals Análise multitemporal da regeneração natural da candeia após ocorrência de incêndio florestal

2017 ◽  
Vol 12 (2) ◽  
pp. 192
Author(s):  
Ivy Mayara Sanches de Oliveira ◽  
Alex Donizeti Sales ◽  
Eduarda Martiniano de Oliveira Silveira ◽  
Fausto Weimar Acerbi Júnior ◽  
José Marcio De Mello
Keyword(s):  
Forest Fire ◽  
Natural Regeneration ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Minas Gerais ◽  
Landsat Tm ◽  
Fire Occurrence ◽  
Regeneration Pattern ◽  
Serra Do Cipó ◽  
Before And After

<p class="SemEspaamento1">Os sensores de satélites têm a capacidade de fornecer informações sobre regiões afetadas pela atividade do fogo, sendo uma ferramenta eficiente para a detecção e quantificação destas áreas. Objetivou-se avaliar o comportamento da regeneração natural da candeia <em>Eremanthus incanus </em>(Less.) Less<em>,</em> após a ocorrência de incêndio florestal por meio do índice de vegetação da diferença normalizada (NDVI) de forma a identificar a capacidade de resiliência da espécie. O incêndio ocorreu em 1999, ao lado do Parque Nacional da Serra do Cipó no município de Morro do Pilar, Minas Gerais. Foi selecionada uma série temporal de quatro imagens adquiridas entre os anos de 1999 a 2005 do satélite Landsat (TM e ETM<sup>+</sup>). Foram geradas as imagens NDVI e em seguida foram obtidos seus valores de reflectância nas diferentes datas para analisar o comportamento espectral das áreas em regeneração. Posteriormente esses parâmetros foram utilizados para analisar as alterações na cobertura vegetal. Ao comparar os valores de NDVI antes e pós-incêndio, observou-se que num período de 6 anos a candeia apresenta valores de reflectância próximos àqueles encontrados antes do incêndio, o que sugere que a cobertura vegetal está num estágio similar à antes da ocorrência do fogo. O índice aplicado mostrou-se eficiente na análise da capacidade de resiliência da espécie após o fogo.<strong> </strong></p><p align="center"><strong><em>Multitemporal analysis of natural regeneration of Candeia after occurrence of forest fire</em></strong></p><pre><strong>Abstract:</strong> Satellite sensors have the ability to provide information on areas affected by fire activity, being an efficient tool for detection and quantification of these areas. The aim of this study was to analyze the natural regeneration pattern of the <em>Eremanthus incanus </em>(Less.) Less, after the occurrence of forest fire, using the normalized difference vegetation index (NDVI) in order to identify its resilience capacity. The fire occurred in 1999, next to the Serra do Cipó National Park in Morro do Pilar city, Minas Gerais. A time series of four Landsat (TM e ETM</pre><sup>+</sup><pre>) images acquired between the years 1999-2005 were selected. The NDVI images were generated and their reflectance values were obtained at the different dates to analyze the spectral pattern of regenerating areas. Later, these parameters were used to analyze the vegetation cover changes. Comparing the NDVI values before and after the fire, it was observed that, over a period of 6 years the reflectance values were close to those found before the fire, which suggests that the vegetal cover is at a similar stage before the fire occurrence. The applied index proved to be efficient in the analysis of the species capacity of resilience after the fire occurrence.</pre><p><strong> </strong></p><br /><strong></strong>

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