Skip to main content

Remote Sensing

Introduction

Welcome to the comprehensive guide on INVISION Remote Sensing. INVISION leverages advanced remote sensing capabilities through a partnership with Planet Labs. This document details the remote sensing variables accessible via INVISION, emphasizing their significance in agriculture, specifically for trials, demonstrations, and commercial applications.

PlanetScope

PlanetScope imagery provides high-resolution, frequent monitoring capabilities that are essential for precision agriculture. Below are the key variables:

Imagery Type Description Bands Used Spatial Resolution Temporal Resolution Key Applications
NDVI (Normalized Difference Vegetation Index) Quantifies vegetation health using red and NIR bands Red, NIR 3 meters Daily Vegetation health, crop monitoring, yield prediction
SAVI (Soil Adjusted Vegetation Index) Adjusted vegetation index minimizing soil brightness impact Red, NIR (+ correction factor) 3 meters Daily Accurate vegetation monitoring in sparse areas, arid region analysis
EVI (Enhanced Vegetation Index) Enhanced vegetation index reducing atmospheric and soil influences Red, NIR, Blue 3 meters Daily High biomass sensitivity, reliable under varying atmospheric conditions, detailed vegetation analysis
RGB (Red, Green, Blue) Captures visible light, similar to human vision Red, Green, Blue 3 meters Daily Visual assessment, communication of field conditions, baseline monitoring

Planetary Variables

Planetary Variables offer specialized insights critical for detailed agricultural analysis and decision-making:

Imagery Type Description Bands Used Spatial Resolution Temporal Resolution Key Applications
NDRE (Normalized Difference Red Edge) Measures chlorophyll content using red edge and NIR bands Red Edge, NIR 3 meters Daily Chlorophyll monitoring, early stress detection, precision agriculture
Biomass Estimates total mass of living plants Multi-spectral (varies) 3 meters Daily Productivity assessment, nutrient management, sustainable practices

1.Detailed NDRE (Normalized Difference Red Edge)

Description: The Normalized Difference Red Edge (NDRE) index is a spectral index sensitive to changes in the chlorophyll contentExplanation of leaves.Each ItVariable uses the red edge and near-infrared bands of the electromagnetic spectrum.

Importance in Agriculture:

  • Chlorophyll Monitoring: NDRE is particularly effective for monitoring chlorophyll content, which correlates with plant health and nitrogen levels.
  • Early Detection: It helps in early detection of stress in crops, allowing for timely intervention.
  • Precision Agriculture: Assists in making informed decisions about fertilization and other agricultural inputs.

2.

NDVI (Normalized Difference Vegetation Index)

  • Description: The Normalized Difference Vegetation Index (NDVI)NDVI is a widely used index for quantifying vegetation health.health Itby utilizesmeasuring the reddifference andbetween near-infrared bands.

    (which

    Importancevegetation instrongly Agriculture:

    reflects)
      and red light (which vegetation absorbs).
    • Vegetation HealthImportance: NDVIIt provides aessential clearinformation indicationon of vegetationplant vigor and density.health, useful for monitoring crop growth, assessing biomass production, and predicting yields.
    • CropApplications Monitoringin INVISION: HelpsUsed extensively in assessingagricultural trials to monitor crop growth stageshealth and biomassdevelopment, production.
      • helping
    • Yieldto Prediction:optimize Usefulresource forallocation predictingand cropimprove yields based on vegetative growth patterns.decision-making.

    3.

    SAVI (Soil Adjusted Vegetation Index)

    • Description: TheSAVI Soiladjusts Adjusted Vegetation Index (SAVI) is similar tothe NDVI but includes a correction factor to minimize the influence of soil brightness influences, which is particularly useful in areas with sparse vegetation.

      Importance in Agriculture:

      • Soil Influence Reduction: Reduces soil brightness impact, providing more accurate vegetation monitoring in sparse vegetation areas.
      • Improved AccuracyImportance: Enhances the accuracy of vegetation indicesmonitoring by reducing the impact of soil reflectance, crucial in arid and semi-arid regions.
      • Applications in INVISION: Valuable in field trials and demo plots located in areas with less dense vegetation, ensuring accurate vegetation analysis.

      4.

      EVI (Enhanced Vegetation Index)

      • Description: The Enhanced Vegetation Index (EVI)EVI improves upon NDVI by reducing atmospheric influences and soil background signals,influences, enhancingproviding better sensitivity toin high biomass regions.

        Importance in Agriculture:

        • High Biomass Sensitivity: Better captures variations in dense vegetation areas.
        • Atmospheric CorrectionImportance: ProvidesMore moreaccurately reliablecaptures datavegetation details under varyinghigh biomass conditions and varied atmospheric conditions.
        • DetailedApplications Analysisin INVISION: UsefulSuitable for detailed vegetation studies and monitoring.high-yield crops in commercial trials, offering precise vegetation health metrics.

        5.

        RGB (Red, Green, Blue)

        • Description: RGB imagery captures visible light in the red, green, and blue bands,light, providing images thatsimilar resembleto what the human eye sees.

          Importance in Agriculture:

          • Visual AssessmentImportance: Allows for straightforward visual inspection of crop conditionsconditions, andmaking it easy to communicate field status.
          • Communication: Facilitates easy communication of field conditionsstatus to stakeholders.
          • BaselineApplications Monitoringin INVISION: ServesUsed as afor baseline formonitoring comparingand othervisual remoteassessments sensingin data.all types of agricultural trials, facilitating easy interpretation and sharing of field conditions.

          6.

          NDRE (Normalized Difference Red Edge)

          • Description: NDRE uses the red edge and near-infrared bands to measure chlorophyll content, which is a strong indicator of plant health.
          • Importance: Particularly effective for early detection of crop stress and chlorophyll levels, allowing for timely intervention.
          • Applications in INVISION: Critical in precision agriculture and high-value crops, used in both demo and commercial trials for early stress detection and management.

          Biomass

          • Description: Biomass estimation from satellite imagery measures the total mass of living plants in a given area,area.
            • providing
          • Importance: Provides insights into crop productivity and health.

            health,

            essential for yield prediction and management.

          • ImportanceApplications in AgricultureINVISION: Key for assessing productivity in large-scale commercial trials and ensuring sustainable nutrient management practices.

          Differences in Imagery Types

          PlanetScope and Planetary Variables offer distinct advantages for agricultural monitoring:

          • Productivity AssessmentPlanetScope: IndicatesProvides overallhigh-resolution, daily imagery using various spectral indices (NDVI, SAVI, EVI, RGB) tailored for general vegetation monitoring and visual assessments. Ideal for continuous monitoring of crop productivityhealth and potentialdevelopment yield.in agricultural trials.
          • NutrientPlanetary Variables: Focuses on specific indices like NDRE and Biomass, offering targeted insights into chlorophyll content and overall plant mass. These are critical for precision agriculture applications, high-value crop management, and sustainable practices.

          Importance for Agricultural Trials

          • Demo Trials: Allows for detailed monitoring and demonstration of crop performance under various treatments, enhancing the credibility and attractiveness of new agricultural products.
          • Commercial Trials: Provides comprehensive data to support large-scale agricultural operations, optimizing resource use, and maximizing yields.
          • Agricultural Management: HelpsEnhances indecision-making managingwith nutrientprecise, applicationstimely baseddata on biomasscrop data.
            • health,
          • Sustainablestress, Practices:and Supportsproductivity, supporting sustainable agriculture practices by monitoring crop growth and health.profitable farming practices.

          Key

          Conclusion

          Differences

          INVISION's integration with Planet Labs' remote sensing capabilities empowers agricultural professionals with advanced tools for monitoring and Importancemanaging

            their
          1. Bandsfields. Used:By Differentutilizing indicesa combination of PlanetScope and imageryPlanetary typesVariables, useusers varyingcan combinationsgain comprehensive insights into their crops, ensuring better outcomes in agricultural trials, demos, and commercial operations. Embrace the future of spectralagriculture bands,with which influence their sensitivity to specific plant characteristicsINVISION and environmentalunlock conditions.
            2. the
          2. Spatial Resolution: All types provided by PlanetScope offer high spatial resolutionpotential of 3your meters, enabling detailed field analysis.
          3. Temporal Resolution: The daily revisit rate ensures that changes and trends can be detected promptly, which is critical for time-sensitive applications like agriculture.
          4. Applications: Each imagery type has unique applications in agriculture, from monitoring chlorophyll content (NDRE) to providing visual assessments (RGB) and estimating biomass (Biomass).
          Imagery TypeDescriptionBands UsedSpatial ResolutionTemporal ResolutionKey Applications

          NDfields.

          RE

          		Measures chlorophyll content using red edge and NIR bandsRed Edge, NIR3 metersDailyChlorophyll monitoring, early stress detection, precision agriculture
          NDVIQuantifies vegetation health using red and NIR bandsRed, NIR3 metersDailyVegetation health, crop monitoring, yield prediction
          SAVIAdjusted vegetation index minimizing soil brightness impactRed, NIR (+ correction factor)3 metersDailyAccurate vegetation monitoring in sparse areas, arid region analysis
          EVIEnhanced vegetation index reducing atmospheric and soil influencesRed, NIR, Blue3 metersDailyHigh biomass sensitivity, reliable under varying atmospheric conditions, detailed vegetation analysis
          RGBCaptures visible light, similar to human visionRed, Green, Blue3 metersDailyVisual assessment, communication of field conditions, baseline monitoring
          BiomassEstimates total mass of living plantsMulti-spectral (varies)3 metersDailyProductivity assessment, nutrient management, sustainable practices

          Sources:

Back to top