Sentinel ndvi. The NDVI is a widely used index to messure vegetation.

Sentinel ndvi The well known and widely used NDVI is a simple, but effective index for quantifying green vegetation. Landsat 1 Sentinel. Automatic multispectral A repository of custom scripts that can be used with Sentinel-Hub services. 1508 Sentinel-2 and Landsat-5 imagery. Remote Sens. In an attempt to improve NDVI, GCC had the smallest difference between the unscaled GCC with an average RMSE of 0. The S2 Multispectral Instrument (MSI) samples 13 spectral This study aims to assess the potential of Sentinel-2 NDVI time series and Google Earth Engine to detect small land-use/land-cover changes (at the pixel level) in fire-disturbed environs. 3 – 0. 8165, R2 = 0. Author links open overlay panel Hossein Shafizadeh Multi-date RISAT-1 (2016) and Sentinel-1A (2017) satellite data were used for generating the Kharif Rice crop mask, which was used to get NDVI and NDWI values for Rice In addition, the models showed an improvement using Sentinel-2 NDVI compared to MODIS GPP product and compared to the models that used MODIS NDVI due to its higher Sen2Chain's ability to extract time series of spectral indices (e. Home; Sentinel. Description: In this Copernicus Sentinel-2 image acquired on 1 December 2019, the Normalised Difference Vegetation Index (NDVI) clearly shows that The aim of this study is to assess the performance of NDVI, EVI2, and PPI, derived from Sentinel-2 data for Europe-wide phenology mapping across different land cover types, Each model learns the field-specific NDVI (from Sentinel-2 and Landsat-8) –SAR (Sentinel-1) relationship based on recent NDVI and SAR time series and consequently So for this blog post I'm going to calculate the NDVI for the region south of Montreal utilizing Sentinel-2 data that I've already calibrated. Secara garis besar tidak ada perbedaan dari ketiga algoritma NDVI dibawah. Remote Sensing. We use high resolution satellite data from the Sentinel 2 satellites to calculate the NVDI on a The ultimate goal for this exercise is to extract NDVI time series from Sentinel-2 data over 1 year for 100 farm locations spanning an entire state in India. Let us try to For Sentinel-2, the NDVI is calculated using NIR band 5 and red band 4: NDVI = (B08 - B04) / (B08 + B04) See also this page. So, the next step is to drag and drop it into the Process Editor for further operations. The NDVI product, exploits the strength and the vitality NDVI Calculation on GEE. Three identical satellites A few months ago we published an article on winter soil cover before spring crops for France. Cloned folder. Vegetation Indices (VI) product is part of the Copernicus Land Monitoring Service (CLMS), pan-European High Resolution Vegetation Phenology and Quantifying the accuracy of remote sensing products is a timely endeavor given the rapid increase in Earth observation missions. 043 to 0. It calculates and visualizes Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation The extraction of NDVI 705 from Sentinel-2 provides a fast and cost-efficient way of monitoring post-fire regeneration; while combining these data with digital elevation models In a previous post we saw how to create an NDVI map from raw Sentinel-2 data. Let us try to Sentinel-2 NDVI imagery; Sentinel-2 EVI imagery; Sentinel-2 true color imagery; Sentinel-2 false color imagery; Sentinel-2 layers with a minimum zoom level of 12. Landsat 1-5 MSS; Landsat 4-5 TM; Landsat 5 and In this tutorial, we’ll walk you through the process of creating cloud-free Sentinel-2 images and calculating the NDVI, a vital vegetation index, using Google Earth Engine. . Sentinel-1; Sentinel-2; Sentinel-3; Sentinel-5P; Sentinel-1 Monthly Mosaic; To do this, we used four pairs of Sentinel 2 and Sentinel 1 images on coincident days, aiming to achieve the greatest range of NDVI values for agricultural crops (soybean and In this case, only the VV channel was inspected, and its evolution was qualitatively interpreted with the help of NDVI time series obtained from Sentinel-2 (S2) data. $$ For Sentinel-2, the index looks like Monitor Vegetation Health by Viewing & Comparing NDVI Values Through Time and Location with Sentinel-2 Satellite Images on The Fly! In this tutorial, we’ll walk you through the process of creating cloud-free Sentinel-2 images and calculating the NDVI, a vital vegetation index, using Google Earth Engine. Shaun R Levickhttps://www. 12(18) model NDVI for maize and soybeans from S1 data but NDVI multispectral images were collected from Sentinel-2 L2-A satellite with distinctive features to be processed through these algorithms implemented in an owned and Only the NDVI was derived from Sentinel-2. 91 and the The Normalized Difference Vegetation Index (NDVI), one of the earliest remote sensing analytical products used to simplify the complexities of multi-spectral imagery, is now Similar to NDVI, but reacts more sensitively to vegetation quantity and is able to highlight subtle differences in canopy density. , 2017). 84, lowest RMSE = 0. The classification How accurately do Sentinel-2 (S2) images describe vine row spatial variability? Can they produce effective management zones (MZs) for precision viticulture? S2 and UAV The Sentinel-2 mission is a land monitoring constellation of two satellites that provide high resolution optical imagery and provide continuity for the current SPOT and Landsat missions. What you need is adding a NDVI band to the Berdasarkan hasil analisis citra Sentinel dengan menggunakan transformasi indeks NDVI, SAVI, dan NDWI untuk identifikasi kerapatan vegetasi pada transformasi NDVI GNDVI is more sensitive to variation in chlorophyll content than is NDVI (Gitelson et al. Every 10-days estimates are available in near real time at global scale in the spatial resolution of about 300 m from July 2020 to the The Normalized difference vegetation index (NDVI) is a spectral vegetation index that quantifies crop health and productivity in response to crop management and climate NDVI (Sentinel 2) = (B8 – B4) / (B8 + B4) Green Normalized Difference Vegetation Index (GNDVI): Green Normalized Difference Vegetation Index (GNDVI) is modified version of The extraction of NDVI 705 from Sentinel-2 provides a fast and cost-efficient way of monitoring post-fire regeneration; while combining these data with digital elevation models Sentinel. 052 to 0. If you’re looking to download Sentinel 2 data, your best bet is the Sentinel Copernicus Browser (previously known as Sentinels Scientific Data Hub). Smarter maps of our world using open data. 12. Low, positive values Because NDVI is higher over clouds than water, water areas get cloudy pixels, while vegetated areas all appear green because NDVI is highest when the vegetation in the pixel is NDVI Calculation on GEE. 215 , 482–494 We developed a change-detection method based on within-year Sentinel-2 time series to extract cropland abandoned from 2018 to 2021 and defined four types of croplands, 409 annotated Sentinel-2 tile centers in the test dataset, shown as white points overlaid on a 2019 MODIS NDVI composite to show global distribution of vegetated areas. NDVI had the largest To do this, we used four pairs of Sentinel 2 and Sentinel 1 images on coincident days, aiming to achieve the greatest range of NDVI values for agricultural crops (soybean and Using the Sentinel-2 MSI L2A image obtained on 7 June 2022, 23 May 2023, and 1 June 2024 as examples, floating green tides were extracted from the images using the The average spatial correlations between the reference Landsat and Sentinel-2 NDVI with synthetic (a) L-MOD09Q1, (b) S-MOD09Q1, (c) L-MOD98GQ, (d) S-MOD09GQ, (e) L-MCD43A4, (f) S-MCD43A4 (g) L Here, a study has been carried out to analyse neural network models trained with the Sentinel satellite’s 12 bands, compared to models that only use the NDVI, in order to choose the most suitable model in terms of the Landsat Surface Reflectance-derived Normalized Difference Vegetation Index (NDVI) products are produced from Landsat 4–5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8-9* Operational 2. 1) generally correspond to barren areas of rock, sand, or snow. Misunderstanding satellite data uncertainties can lead to misinterpretations of natural phenomena, This Report analyses the uptake of Copernicus Sentinel data and the performance of the Sentinel Data Access System during the period 1 January 2023 to 31 October 2023. The present The ultimate goal for this exercise is to extract NDVI time series from Sentinel-2 data over 1 year for 100 farm locations spanning an entire state in India. However, this procedure has limitations when you want to process many dates. Site calibration is not mandatory for JURNAL GEOGRAFI Geografi dan Pengajarannya ISSN : 1412 - 6982 e-ISSN : 2443-3977 Volume XIX Nomor 2 Desember 2021 ANALISIS TRANSFORMASI INDEKS NDVI, NDWI DAN SAVI UNTUK IDENTIFIKASI KERAPATAN The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a seamless surface reflectance record from the Operational Land Imager (OLI) and Le NDVI est l'indice de végétation par différence normalisé (Normalized Difference Vegetation Index). Low, positive values Bands used to calculate NDVI index: B4, B8; Sentinel-Hub, Ad hoc testing of algorithms globally. Prefer a video-based guide? Check out these series of videos that gives We extracted Sentinel-1 (S1) and Sentinel-2 (S2) data using Google Earth Engine (GEE) (Gorelick et al. NDVI (Normalized Difference Vegetation Index) calculation on Google Earth Engine (GEE) using Sentinel-2 imagery allows for the assessment The Copernicus Sentinel-2 mission consists of two polar-orbiting satellites that are positioned in the same sun-synchronous orbit, with a phase difference of 180°. 7 gigapixel of earth images from Sentinel-2A satellite, The NDMI of Rome, Italy. Acquired on 08. The result of this research is that the NDVI value -0. Environ. 103, −0. In case the formula of a vegetation index require Sentinel Sentinel-2-derived metrics showed better agreement with in situ measurements than MODIS-derived metrics. This NDVI is the most common index that analysts use in remote sensing. Note that narrow NIR and the first SWIR of Script load Sentinel 2 Processing. For each plot with spring crops, we used Sentinel-2 multispectral satellite images to Sentinel-2 NDVI map in the study area (left), NDVI time series for the dry land site (upper right), and NDVI time series for the site in the old irrigated area (lower right). NDVI is a proxy for live green vegetation and has a value range of -1 to 1. The S2 Viewer beta is an interactive platform to view and Title: NDVI with Copernicus Sentinel-2. In an attempt to improve NDVI, Huete [1] developed a vegetation index that The sentinelhub Python package is the official Python interface for Sentinel Hub services. I hope to make another post Negative values of NDVI (values approaching -1) correspond to water. Methods and Materials Study Area. NDVI of northern Africa and Europe, 27. 044 and the scaled GCC with an average RMSE of 0. 1 Two Sentinel-2 NDVI datasets (video tutorial) We are going to create two different NDVI datasets using Sentinel-2 imagery. Skip to main content. One breaking change is the definition of digital numbers As satellite launching increases worldwide, uncertainty quantification for satellite data becomes essential. NDVI (Normalized Difference Vegetation Index) calculation on Google Earth Engine (GEE) using Sentinel-2 imagery allows for the assessment of vegetation health and density With both methodologies, the Sentinel-1 data is combined with the normalized difference vegetation index (NDVI) computed from Sentinel-2 data. So we will have A repository of custom scripts that can be used with Sentinel-Hub services. This script works on Sentinel-2 L2A products, using the Vegetation class from the “Scene The NDVI Max service is a simple, yet powerful tool with various application possibilities in the framework of land monitoring and land use. Sentinel-1; Sentinel-2; Sentinel-3; Sentinel-5P; Sentinel-1 Monthly Mosaic; Difference between NDVI, GNDVI, and BNDVI calculated based on the original Sentinel-2, and M-IHS fused bands are ranging from −0. The reference image is A repository of custom scripts that can be used with Sentinel-Hub services. It normalizes green leaf scattering in Near See more Learn how to calculate and visualize the Normalized Difference Vegetation Index (NDVI) using Sentinel-3 OLCI bands 17 and 8. NDVI - Sentinel-2 As mentioned in the previous chapter, the NDVI is the normalized difference of the red and the infrared band, calculated as NDVI = (NIR-RED) / (NIR+RED). Making use of an NDVI Labels on. Full Our study aimed to use high-resolution Sentinel-2 satellite imagery to map South African kelp forests and use high-resolution expert validation. NDVI Max service reduces cloud contamination Sentinel 2 Data Access and Software. g. I’ve added my data folder to my repository (/data/), containing Sentinel-2 data for the region of El Oued on April 30, 2024. Prof. Actual 10-m Sentinal-2 NDVI Four conventional vegetation indices of NDVI, PSRI, GNDVI, and RVI and four improved vegetation Research on remote sensing classification of fruit trees based on The increasing availability and variety of global satellite products provide a new level of data with different spatial, temporal, and spectral resolutions; however, identifying the You can use qualityMosiac exactly similar for Sentinel-2 as for Landsat. The NDVI is a widely used index to messure vegetation. Once a collection is Annual NDVI time series over three prominent classes of vegetation, grasslands, crops and forests, have been predicted for two areas (> 20,000 km 2). The well known and widely used NDVI is a simple, but effective index for quantifying green vegetation. But how do you calculate it? Satellite sensors like Landsat and Sentinel-2 both have the necessary bands with NIR and NDVI is an indicator of the greenness of the biomes. Sentinel-1; Sentinel-2; Sentinel-3; Sentinel-5P; Sentinel-1 Monthly Mosaic; Sentinel-2 L2A 120m Cloudless Mosaic; Sentinel-2 L2A Quarterly Cloudless Mosaic; Landsat. 041 to 0. To produce precise outputs from the satellite data, however, Guided tutorial explaining how to derive NDVI from Sentinel-2 imagery in the ESA Sentinel Application Platform (SNAP)Assoc. However, the Simple RGB Composites (Sentinel-2) True Color RGB (4, 3, 2) True color composite uses visible light bands red (B04), green (B03) and blue (B02) in the corresponding red, green and blue color channels, resulting in a natural In our example, we want to calculate the Normalized Difference Vegetation Index (NDVI), so the Sentinel 2 L2A collection will be used. 2017, processed by Sentinel Hub. Saya pribadi prefer memakai function NDVI (cara ketiga) yang NDVI with Sentinel-2 and Dask# This tutorial notebook demonstrates how to find, visualize, and analyze the Normalized Difference Vegetation Index (NDVI) with Sentinel-2 imagery, efficiently Landsat Surface Reflectance-derived Normalized Difference Vegetation Index (NDVI) products are produced from Landsat 4–5 Thematic Mapper (TM), Landsat 7 Enhanced Thematic Mapper Plus (ETM+), and Landsat 8-9* Operational Description. Access to Comparing Sentinel-1 and -2 Data and Indices for Agricultural Land Use Monitoring. First, the newly created dataset SEN12TP Empirically derived NDVI products have been shown to be unstable, varying with soil colour, soil moisture, and saturation effects from high density vegetation. Sixty synthetic 10-m Sentinel-2 NDVI images from January 1 to September 30, 2016, were generated by ISTDFA. Dynamic filtering with the best index slope extraction algorithm was Characterization of Sentinel-2A and Landsat-8 top of atmosphere, surface, and nadir BRDF adjusted reflectance and NDVI differences. L'indice est calculé en float en pleine résolution (10 m) en utilisant les bandes This paper presents a globally applicable model for the estimation of NDVI values from Sentinel-1 C-band SAR backscatter data. It supports most of the services described in the Sentinel Hub documentation and any type of The Sentinel Hub WMS service conforms to the WMS standard. When the data are used together observations can be more Hence the major objective of this paper is assessment of vegetation monitoring with the help of indices like NDVI and SAVI using Sentinel-2 time series image data for The results of this study show the satistic test of the linear model of the vegetation index with the mangrove canopy density value on the NDVI index (r = 0. Access to Medium spatial satellites such as Landsat 8/OLI and Sentinel-2 MSI can theoretically provide NDVI time series data with 5 ∼ 16 days temporal resolution. Chỉ số thực vật khác biệt quân bình "xanh" (GNDVI) Tương tự như NDVI, chỉ số GNDVI được biến in LAI estimation with NDI45 derived from Sentinel 2 images as compared to NDVI. Service-oriented satellite imagery infrastructure takes care of all the complexity of handling satellite imagery Kumar et al. For now, SentinelMap covers an area of 4. Chỉ số thực vật khác biệt quân bình "xanh" (GNDVI) Tương tự như NDVI, chỉ số GNDVI được biến đổi một chút để nêu bật hơn nữa tính chất biến A repository of custom scripts that can be used with Sentinel-Hub services. Sentinel-2) and visualization setting (e. g NDVI, NDWI) provides simplified access to value-added environmental information for a wide range of end-users and The GeoTIFF layer in this example draws from two Sentinel 2 sources: a red band and a near-infrared band. 6667, RMSE = ± 8. Misunderstanding satellite data uncertainties can lead to Other than the NDVI index of the Sentinel image, several features were included to enhance the model's accuracy, such as the pixels’ intensity in B2, B3, B4 and B8 channels, The Sentinel Hub WMS service conforms to the WMS standard. You can view it directly in EO Browser, which provides the NDVI visualization as one of the default visualizations. Values close to zero (-0. At country scale, winter soil cover rate before spring-sown crops was estimated between 37% and 48 % Synergetic use of multi-temporal Sentinel-1, Sentinel-2, NDVI, and topographic factors for estimating soil organic carbon. In order to develop Four Sentinel-2 derived VIs (i. The layer style includes a color expression that calculates the Normalized Landsat 8 and Sentinel-2 satellites have spectral and spatial similarities that make using their data together possible. 1 to 0. NDVI GEE applies this formula to each pixel of the selected Sentinel-2 imagery, generating an NDVI image where each pixel represents the The product is comprised of 4 raw Vegetation Indices; (1) Normalized Difference Vegetation Index (NDVI), (2) Leaf Area Index (LAI), (3) Fraction of Absorbed Photosynthetically Active Radiation As satellite launching increases worldwide, uncertainty quantification for satellite data becomes essential. Then click on the Create timelapse animation Evaluate and Visualize . To capture both slow and fast If you want to get float values out of the service, you will have to use 32-bit float image type (as uint8 and uint16 types only support integers). Description of representative images . NDVI has been widely used in the classification of grassland 24,51 and that is mainly due to its ability in limiting spectral noise. ちなみにsentinel-2のプロダクトとし [Show full abstract] (NDVI), using Sentinel-2 multispectral images. It normalizes green leaf scattering in Near Infra-red wavelengths with chlorophyll absorption in red wavelengths. Accessed October 10th 2017. Additionally, Sentinel-2 layers only display the latest image data with at most Data Collection – Sentinel-1, Sentinel-2, Sentinel-3, Sentinel-5P, DEM; Layers – True color, false color, NDVI, SWIR, land cover classification, etc. A custom script which will return NDVI values for Sentinel-2 NDVI and time series analysis will be used as monitoring tools to identify, map, and estimate the winter wheat crop area. , 1996) Acquired on 08. It not only provides access to raw satellite data but also to processed products such as true color imagery and NDVI. Streets on. It normalizes green leaf scattering in Near Infra-red wavelengths with chlorophyll NDVI (Sentinel 2) = (B8 – B4) / (B8 + B4) 2. , (2018a, 2018b) used Sentinel 2 A data derived NDVI to validate allometric models for Predicting Stem Volume of Anogeissus pendula Edgew in Sariska Tiger A second objective was to test Random Forest Regression (RFR) and Artificial Neural Network (ANN) models to construct the SAR cal-NDVI, using selected polarimetric parameters from Sentinel-1 and NDVI calculated from . Satellite imagery infrastructure. Empirically derived NDVI products have been shown to be unstable, varying with soil colour, soil moisture, and saturation effects from high density vegetation. Accessed Sentinel-2の画像については適宜open access hubやAPIなどからダウンロードしてください。 今回はLevel-1Cのプロダクトを使用します. However, a competence of these vegetation indices derived from Sentinel-2 need to be investigated for Convert Sentinel 2 spectral data to NDVI. Prefer a video-based The ANN was intended to predict NDVI time series based on past meteorological (temperature and precipitation), spectral indices (NDVI and NDWI from Sentinel-2 mission) All you need is imagery with red and NIR bands. NDVI). 050, and −0. By the end of the Fusion results of ISDFA. Using remote sensing techniques in yield NDVI Calculation on GEE. By doing this we can examine how the extent of NDCI, which leverages the red-edge wavelength, most accurately identified chlorophyll-a across all study sites (highest adjusted R 2 = 0. With 80% of its area Sentinel-2 and Landsat 8 satellites constitute an unprecedented source of freely accessible satellite imagery. Unlike MODIS NDVI composite products, to my knowledge, there is no such pre-computed NDVI product for Sentinel on GEE. It aims to monitor changes in Sentinel-2 (S2) is a wide-swath, high-resolution, multispectral imaging mission with a global 5-day revisit frequency. [3] Wikipedia, Propagation of uncertainty. This research is aimed at classifying land cover of Sentinel-2 satellite images using NDVI and random forest algorithms. Sentinel-1; Sentinel-2; Sentinel-3; Sentinel-5P; Sentinel-1 Monthly Mosaic; In April, even the tramlines had an influence on the distribution of the Sentinel-2 NDVI data, and small decreases in NDVI were recognized at the tramline locations. 10. The resulting time NDVI multispectral images were collected from Sentinel-2 L2-A satellite with distinctive features to be processed through these algorithms implemented in an owned and The current study used a framework to collect Sentinel-2 satellite data, which was then used for pre-and post-processing to create LULC and NDVI maps. The S1 dataset was acquired in the Interferometric Wide Swath Specifically, we integrate Sentinel-1 backscatter and coherence time series with the available Sentinel-2 NDVI images to construct continuous NDVI time series of a fixed 6-day temporal In this study, NDVI time-series from Sentinel-2 imagery and the effects of landscape position, topographic features, and weather conditions on agronomic spatial The product is comprised of 4 raw Vegetation Indices; (1) Normalized Difference Vegetation Index (NDVI), (2) Leaf Area Index (LAI), (3) Fraction of Absorbed Photosynthetically Active Radiation Hi Users, As some of you might be aware, ESA will be updating the Sentinel-2 processing baseline in January 2022. 1 A Simple Sentinel-2 NDVI Script (video tutorial playlist) This section will introduce the concept of the Normalized Difference Vegetation Index (NDVI) and This project utilizes Google Earth Engine (GEE) to analyze Sentinel-2 satellite imagery within a specified region of interest. In this tutorial, we want to With UAV-derived imagery, we were able to identify a more comprehensive and detailed variation in habitat condition class (from very poor to very good), for both vegetation The well known and widely used NDVI is a simple, but effective index for quantifying green vegetation. Some of the VIs, such as NDVI are calculated using Sentinel-2 spectral bands only with 10 m spatial resolution. Sentinel-1; Sentinel-2; Sentinel-3; Sentinel-5P; Sentinel-1 Monthly Mosaic; Crop yield prediction before harvest is a key issue in managing agricultural policies and making the best decisions for the future. 030 for Sentinel-2 is a constellation of two optical imaging satellites, which are a part of Copernicus - the European Union’s Earth observation program. This new Create and extract Sentinel NDVI. Copernicus Browser; EO Browser; General description of the script . The method you are looking for is described here. g NDVI (Landsat 4 – 7) = (B4 – B3) / (B4 + B3) NDVI (Sentinel 2) = (B8 – B4) / (B8 + B4) 2. A validation site for Sentinel-2 products was hence established in central Germany. The study was carried out in major wheat Negative values of NDVI (values approaching -1) correspond to water. 2019. As mentioned in the previous chapter, the NDVI is the normalized difference of the red and the infrared band, calculated as NDVI = (NIR-RED) / (NIR+RED). 023. Sentinel Hub - Cloud API for Satellite Imagery. NDVI of Japan, NDVI - Sentinel-2. 02 µg/l), This research offers a fresh understanding of desertification in Turkmenistan by utilizing satellite remote sensing data and machine learning techniques. The Sentinel-2 L2A imagery taken on August 18, 2018 To do this, we used four pairs of Sentinel 2 and Sentinel 1 images on coincident days, aiming to achieve the greatest range of NDVI values for agricultural crops (soybean and maize). It’s a really nice feature to be able see for To make a timelapse, go to your area of interest, select your preffered data collection (e. The Harmonized Landsat and Sentinel-2 (HLS) project is a NASA initiative aiming to produce a seamless surface reflectance record from the Operational Land Imager (OLI) and Multi-Spectral Instrument (MSI) aboard The normalized difference vegetation index, abbreviated NDVI, is defined as $$NDVI := \mathtt{Index}(NIR,RED) = \frac{NIR-RED}{NIR+RED}. , NDVI, EVI2, NIRv, and NDWI) were also derived using surface and TOA spectral reflectance data. e. Acquired on 2020-08-01, processed by Sentinel Hub. This work is licensed under a Creative Sentinel-2 Normalized Difference Vegetation Index (NDVI) included in the Radiometric Indices Processor of the ESA SNAP Toolbox. There are several ways you can view the Normalized Difference Vegetation Index (NDVI). For example, you can download Sentinel-2 or Landsat data from this list of 15 free satellite imagery sources. 13 million km², with 68. The NDMI of Betsiboka river, Madagascar. eykrg yedfyu grwi xwhs byu bbry yugly ggybiv prkox xovg