NDVI Articles
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Assessing vegetation response to drought in the Laohahe catchment, North China
In order to better understand the relationship between vegetation vigour and moisture availability, a correlation analysis based on different vegetation types was conducted between time series of monthly Normalized Difference Vegetation Index (NDVI) and Palmer Drought Severity Index (PDSI) during the growing season from April to October within the Laohahe catchment. It was found that NDVI had ...
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Inter-annual variability and interaction of remote-sensed vegetation indexand atmospheric precipitation in the Aral Sea region
The remotely sensed Normalized Difference Vegetation Index(AVHRR NDVI) and precipitation data were analysed in the Aral Sea region in Central Asia during two recent decades. Both variables exhibited pronounced seasonal variation, with maximum precipitation in March and maximum NDVI in May–June. The regions of synchronous seasonal and interannual variability between the vegetation indexand ...
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Assessment of pasture biomass with the normalized difference vegetation index from active ground-based sensors
Calculating forage availability is challenging for managers of grazing systems due to the spatial heterogeneity of swards. Remote sensing applications may help to overcome this problem through estimates of biomass made with reflectance data. The objectives of this study were to (i) estimate herbage mass using an active, on-the-go, ground-based, narrow band sensor to calculate the normalized ...
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Normalized difference vegetation index and soil color-based management zones in irrigated maize
Spectral vegetation indices such as the normalized difference vegetation index (NDVI) have been shown to be useful for indirectly obtaining crop information such as photosynthetic efficiency, productivity potential, and potential yield. The objectives of this study were (i) to examine the relationships among NDVI determined early in the growing season, soil color-based management zones (SCMZ), ...
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EVI vs NDVI: What’s the difference?
The wine industry has been using aerial imaging to measure vine vigor for decades. It is becoming more and more common for vineyard managers to use vigor maps to support their decision making in the field. These maps most often use the Normalized Difference Vegetation Index (NDVI) to measure vine vigor. NDVI has been the standard in the wine industry since the Mondavi Project in 1992. NDVI is a ...
By VineView
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Spatial analysis of early wheat canopy normalized difference vegetative index
Efficient use of real-time canopy sensors requires knowledge of the scale (resolution) of variation in the measured canopy property. Knowing the amount of needed optical data requires estimation of the optimal combination of physical sensor density (number of sensors along the applicator boom) and sensor output density (sensor readings per unit distance along the travel path). The objective of ...
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Spatial analysis of early wheat canopy normalized difference vegetative index: determining appropriate observation scale
Efficient use of real-time canopy sensors requires knowledge of the scale (resolution) of variation in the measured canopy property. Knowing the amount of needed optical data requires estimation of the optimal combination of physical sensor density (number of sensors along the applicator boom) and sensor output density (sensor readings per unit distance along the travel path). The objective of ...
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TrueNDVI vs. Synthetic NDVI Explained
Not all NDVI is created equal Normalized difference vegetation index (NDVI) imagery products have become increasingly common in precision agriculture applications. More companies are offering NDVI and NDVI-like products, including “Synthetic NDVI” images from drone platforms. At Sentera, it is our mission to provide you only the most valuable crop health data, which is why all of our ...
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Nondestructive measurement of grapevine leaf area by ground normalized difference vegetation index
Vine leaf area index has a great impact on berry quality. This study was conducted to determine whether vine leaf area index could be estimated, and mapped through normalized difference vegetation index (NDVI) ground-based measurements. The NDVI measurements were performed using a Greenseeker (N-Tech Industires, Ukiah, CA and Oklahoma State Univ., Stillwater), pointed sideways at the vertical ...
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Spatial mapping of complex turfgrass sites: site-specific management units and protocols
Site-specific management units (SSMUs), similar in soil, plant, and irrigation requirements, are foundational to efficient management in precision agriculture. This concept is applied to management of complex turfgrass sites to improve irrigation practices. An experimental mobile unit mapped two golf fairways' turfgrass (Paspalum vaginatum SW.; ‘Salam’) in Naples, FL in summer 2006 on a 2.5 m ...
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Northam Wheat Trial – NPK Reduction - Case Study
First of a five year trial producing wheat at reduced rates of NPK (50% to 75%). At Northam in the central wheatbelt of Western Australia in 2013, wheat cv. Eradu was sown into a pasture paddock to evaluate the effects of various rates of fertiliser in combination with Hibrix BB. Agras fertiliser was banded below the seed at sowing at 0, 25, 51, 75 or 99 kg/ha whilst Hibrix BB was applied to half ...
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Taking the Guesswork Out of Precision Scouting Drones
The Rise of Precision Scouting Drones A few weeks ago, I attended a summit at Louisiana State University regarding precision scouting drones and their application in agriculture. It was a wonderfully informational gathering of agronomists, producers, and a few lucky industry types like myself. Professors and agronomic experts from the LSU Extension Service presented their views, experiences, ...
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Tackle Vineyard Variability with Vine Health Predictions
Variability in vine vigour and grape composition makes it difficult for growers to meet uniform quality specifications from winemakers. As a result, growers often have the opportunity to make up to AU$2,155 per hectare for reducing variability. Vineyard variability is driven by climate, features of the land (e.g. topography and soil composition, including moisture content and nutrient ...
By Deep Planet
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How ZR3I Managed To Be The First Digital Agri SaaS Platform in the Arab World
INTRODUCTION Zr3i is a digital agricultural platform that provides data to the small farmers, agriculture businesses and all workers in the agriculture sector. Zr3i has developed a website and an android application for Egypt and the Arab World that are available in Arabic language for better understanding for local farmers. “Zr3i’s main objective is to provide detailed ...
By Farmonaut
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Data with Drew: Vegetation Indices
The cameras we use on fixed wing and drone aircraft capture visual picture images (RGB), near infrared images (NIR), and thermal images. A formula is used to analyse the NIR data returned and provides Pollen Systems with two main metrics to measure plant vigor: NDVI (Normalized Difference Vegetation Index) and NDRE (Normalized Difference Red Edge). These vegetation indices are each unique ways to ...
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Peanut response to planting date and potential of canopy reflectance as an indicator of pod maturation
Determining when to dig peanut (Arachis hypogea L.) is complicated because of its indeterminate growth habit. Pod mesocarp color is often used an indicator of pod maturation. However, this process is time consuming and is usually based on a relatively small subsample of pods from peanut fields. Research was conducted during 2003–2005 to determine if reflectance of the peanut canopy, using ...
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A simple spectral index using reflectance of 735 nm to assess nitrogen status of rice canopy
Spatial distribution of canopy N status is the primary information needed for precision management of N fertilizer. This study demonstrated the feasibility of a simple spectral index (SI) using the first derivative of canopy reflectance spectrum at 735 nm (dR/d|735) to assess N concentration of rice (Oryza sativa L.) plants, and then validated the applicability of a simplified imaging system ...
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Regional-scale assessment of soil salinity in the Red river valley using multi-year MODIS EVI and NDVI
Received for publication April 15, 2009. The ability to inventory and map soil salinity at regional scales remains a significant challenge to scientists concerned with the salinization of agricultural soils throughout the world. Previous attempts to use satellite or aerial imagery to assess soil salinity have found limited success in part because of the inability of methods to isolate the effects ...
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Farmonaut For Crop Area and Yield Estimation
INTRODUCTION: CROP AREA ESTIMATION The two components of agricultural production estimation are crop area and yield estimation. In order to estimate yield, Producers generally measure the amount of a particular crop harvested in a sample area to estimate crop yield. The harvested crop is then weighed, and the entire crop production of the area is approximated from the sample. A method for ...
By Farmonaut
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Corn and soybean mapping in the united states using modis time-series data sets
Monitoring and mapping of U.S. croplands has long been a primary goal of many users of earth observation satellite data. The advantages of using low spatial and high temporal resolution data are (i) increased ability to monitor the phenological change of crop plants, and (ii) the possibility of generating consistent large area crop cover maps. This study investigates the potential of 500-m MODIS ...
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