Monitoring

Image sources

Currently, we use Sentinel-2 satellite images with a 10-meter resolution. In addition, you can connect daily PlanetScope images with a resolution of 3 meters. For both systems, you can adjust the threshold for cloud and shadow coverage. Thus, the collected statistics include a representative selection and exclude external factors as much as possible, but sometimes require visual verification using Natural Color.

Image sources Sentinel-2

Elevation map

An elevation map is a digital model that displays elevation changes on your field. The model allows you to identify potentially problematic areas of the field, such as flood zones, areas of limited water access, soil erosion, etc.

Combined with other data (NDVI index, productivity map, etc.), the elevation map indicates factors that impede plant development and allows you to reduce their impact.

This model also enables you to determine the actual field size for more accurate calculation of seed, fuel and lubricants costs and time spent on field treatment.

How to find a field elevation map

By default, only the NDVI values of your field are displayed on the map. To see elevation differences, click on the panel with the name of the satellite (Sentinel 2) and select the elevation map from the drop-down list.

Image sources Elevation map

Visually, the elevation difference looks like a difference in shades, from dark green lowlands to dark red highlands. In addition, by hovering the cursor across the map, you can see the actual elevation values (in meters) at any point in the field.

Elevation map hover

You can also download the elevation map in .tiff format by clicking on the download arrow icon in the panel in the lower right corner.

Elevation map Download

Slope map

The slope map characterizes the extent of elevation or decline of the terrain in degrees. Visually, the slope map looks like a difference in shades, from red steep slopes to dark green gentle slopes. You can find detailed color meanings in the legend.

Image sources Slope map

Date line

All images are displayed here. When you select a date, you’ll see a satellite image with an index applied to the image taken on the day you selected.

*You can view a preview of the field image with % cloud and shadow coverage and Greenwich Mean Time when you hover over the date
Sentinel-2 Historical images

Satellite images for the last 3 months are available for free.

*To get access to images starting from 2016, select the Essential or Professional plan. You can select the time period you need in the calendar. Images from 2016 are also available when working with a gift field.

To select the desired year, click on the calendar icon.

Calendar

By default, only images with less than 50% cloud cover are displayed. You can change the cloudiness threshold in the account settings.

Historical images

Crop info

The panel with information about the crop allows you to see the following data and analytics about the field:

  • Crop rotation
  • Growth stages
  • Current risks
  • Yield estimation (available as an add-on).

Crop rotation

The crop rotation block is empty by default and requires you to enter input data starting from a crop. Without this, it is impossible to calculate the stages of development, risks and perform yield estimation. The correct crop and sowing date affect the accuracy of results.

Crop rotation

To start adding crops, click on the “+ Add crop” button.

Now this section will display general information about the crop(s) in this field within the season in which this field was added.

Crop info

You can add several crops within the same season. To see information on a particular crop, select it with the radio button.

*The ability to switch crops is available only in the season you are viewing the analytics for.
Monitoring multiple crops at the same time

Growth stages

This feature is designed to determine the current growth stage of the crop according to the BBCH system to take this information into account when planning field work. You can also view the start date of a particular growth stage and switch between stages.

See which crops have available growth stages here.

To effectively monitor the condition of the field, it is important to keep in mind that each crop requires the use of specific indices at certain stages of its development. On the platform, these indices are divided into recommended and additional indices.

The recommended indices are the result of in-depth research and have been confirmed as the most informative for specific crops and stages of development. They provide high accuracy and reliability in identifying key parameters of plant condition.

Useful indices

Additional indices, although also based on research, have less clear-cut results. Their use is often limited to more general analysis or serves as an additional tool to verify the data obtained with the recommended indices.

*Some crops require manual entry of the growth stage start date. To do this, click on edit growth stage and select the start date of the growth stage.
Growth stages

Risks

To use the Current risks feature, you need to select an Essential or Professional plan.

*Disease risks are available as an add-on.

Each risk may have a different level of probability:

Crop risk level

To expand the full information about a risk, click on the icon of the risk you are interested in.

Crop risk

Charts

Charts show the dynamics of changes in the values of the selected index.

Vegetation indices

Each curve can be disabled by clicking the corresponding colored buttons on the legend. This allows you to eliminate unnecessary elements and compare values by the years of interest.

NDVI charts

Weather chart

To display weather data on a graph, select the corresponding data type from the drop-down list.

Data in “Temperature” section:

  • Minimum/Maximum temperature in degrees Celsius
  • Threat of Cold/Heat stress

Data in ”Moisture” section:

  • Precipitation in mm
  • Root zone moisture
  • Soil surface moisture in %.
NDVI charts

Temperature

The minimum temperature curve shows the history of minimum temperatures in the field over a certain period. Keep an eye on this curve and take relevant plant protection measures in time. When the curve crosses the “Threat of cold” mark (-6°C), your plants are in danger: they can be damaged or even die. Study the temperature trends in the field based on this graph to better protect your plants.

Weather data minimum temperature

The maximum temperature curve shows the history of maximum temperatures in the field over a certain period. Keep an eye on this curve and take relevant plant protection measures in a timely manner. When it crosses the “Heat stress” mark (+30°C), your plants are most likely experiencing drought. Study the temperature trends in the field based on this graph to better protect your plants.

Weather data maximum temperature

Moisture

The precipitation graph shows the history of precipitation on the field in mm. Study rainfall trends based on this graph and plan irrigation and fertilization more efficiently and effectively.

Moisture Precipitation

The soil surface moisture curve shows the change in the amount of water in the top layer of soil, several centimeters deep, over a certain period. This data will help you to carry out irrigation work more efficiently.

Charts soil moisture

The root zone moisture curve shows the change in the amount of moisture required by the roots of plants. Optimize your water use by making decisions based on this graph.

Charts root zone

Growth stages

Use the growth stages to find out what stage your crop is currently at.

*You must add crop information and sowing date to see the growth stages for some of your crops.
Chart Growth stages

Period intervals

By default, the period of one year or the date range selected in the calendar is displayed.

Chart time period

If you have customized the date range and want to get the default annual overview, click Update.

Chart reset

Indices

By default, the date line displays images based on the NDVI index. You can select a different index from the drop-down list.

Indices

Below are the most commonly used vegetation indices that are presented in monitoring feature.

VMI or Vegetation Meta index

The Vegetation Meta Index is a composite index based on the RGB model, where Red corresponds to MSAVI, Green to NDRE, and Blue to NDVI. Each of these defined indices is more effective at different stages of plant development. When combined into an RGB composite, the influence of each index is characterized by a change in color, allowing for visual determination of the state of the corresponding crop in the image. Importantly, the color scheme remains consistent regardless of crop type, region, or time of capture, as it is constructed based on the absolute values of the indices. This index is developed by the EOSDA science team and it is in the initial development stage. The legend for this index will be developed and improved over time.

Vegetation Meta index

NDVI or Normalized Difference Vegetation Index

NDVI is calculated according to the way a plant reflects and absorbs solar radiation at different wavelengths. The index allows for identification of problem areas of the field at different stages of plant growth for timely response. Pay attention to the areas where NDVI values differ considerably.

For example, the areas of a field that have an extremely low NDVI rate may indicate problems with pests or plant diseases; and the areas with an abnormally high NDVI signalize the occurrence of weeds.

Normalized Difference Vegetation Index NDVI

NDRE or Normalized Difference RedEdge*

NDRE is an indicator of photosynthetic activity of a vegetation cover used to estimate nitrogen concentrations in plant leaves in the middle and at the end of a season. It allows you to detect the oppressed and aging vegetation and is used to identify plant diseases. It also makes it possible to optimize the timing of the harvest.

*The red-edge band is a narrow band in the vegetation reflectance spectrum between the transition of red to near infra-red.

Normalized Difference RedEdge NDRE

MSAVI or Modified Soil-Adjusted Vegetation Index

MSAVI allows you to determine the presence of vegetation in the early stages of emergence when there is a lot of bare soil. The index minimizes the effect of bare soil on the display of vegetation maps. Based on the index, you can build maps for differential fertilizer application in the early stages of crop growth.

Modified Soil-Adjusted Vegetation Index MSAVI

ReCI or Red-edge Chlorophyll Index

ReCI is an index of photosynthetic activity of a vegetative cover, sensitive to the content of chlorophyll in leaves. Since the level of chlorophyll is directly related to the level of nitrogen in the crop, the index allows you to identify the areas of the field that have yellow or faded leaves, which may require additional fertilizer application.

Red-edge Chlorophyll Index RECI

Currently, one moisture index is also available on the platform:

NDMI or Normalized Difference Moisture Index

NDMI describes the crop’s water stress level and is calculated as the ratio between the difference and the sum of the refracted radiation in the near-infrared and SWIR spectrums. The interpretation of the absolute value of the NDMI makes it possible to immediately recognize the areas in which the farm or field is experiencing water stress. NDMI is easy to interpret: its values vary between -1 and 1, and each value corresponds to a different agronomic situation, independently of the crop.

You can also select the Natural color option to see the real image and make sure that clouds, haze, fog, and shadows from them have not affected the correctness of the field data.

If you don’t find the index you need in the list, please contact our support team to connect it.

Here are some indices that are already available in Add-ons.

GNDVI or Green Normalized Differential Vegetation Index

The Green Normalized Differential Vegetation Index is indispensable at late and intermediate stages of plant development. It allows you to effectively assess the level of plant stress, soil moisture and nitrogen concentration in the leaves. Due to its sensitivity to chlorophyll, this index provides high-quality monitoring of crops, including aging or weakened vegetation.

EVI or Enhanced Vegetation Index

The Enhanced Vegetation Index is designed to correct for the effects of soil and atmospheric factors. It is more effective in regions with high biomass, such as tropical forests, where NDVI may be less accurate. EVI is also not recommended for use in mountainous areas due to the limited topographic effect.

SIPI or Structural Pigment Intensity Index

The Structural Pigment Intensity Index is ideal for analyzing canopy cover with a heterogeneous structure. It helps to estimate the ratio of carotenoids to chlorophyll, which allows you to detect early signs of stress or disease in plants.

ARVI or Atmosphere Resistant Vegetation Index

The Atmosphere Resistant Vegetation Index is designed to work in conditions of high aerosol content in the air, such as dust, smoke or rain. It is an ideal choice for monitoring crops in tropical regions and mountainous areas.

RENDVI Red Edge Normalized Differential Vegetation Index

The Red Edge Normalized Differential Vegetation Index is an advanced version of the NDVI that improves the accuracy of chlorophyll analysis. Particularly effective in the later stages of plant development, it allows you to take into account the area of leaf cover and its structure.

PSRI or Plant Senescence Index

The Plant Senescence Index is excellent for determining the processes of fruit ripening and leaf senescence. It allows you to accurately assess the level of chlorophyll and carotenoids in aging vegetation, providing early detection of stress.

GCI or Green Chlorophyll Index

The Green Chlorophyll Index is used to analyze the chlorophyll content, which allows to assess the physiological state of plants. This index is useful for monitoring the impact of seasonal changes and stress factors on vegetation.

NDYI Normalized Difference Yellow Index

NDYI is designed to detect yellow color in vegetation. It is used to monitor the flowering stage of crops such as rapeseed, sunflower and mustard, as well as to detect stress in cereals.

NRFI or Normalized Rapeseed Flowering Index

The NRFI specializes in determining the flowering stages of rapeseed and other yellow-flowering crops. This index is also useful for assessing the yellowing of plants under stressful conditions.

NDPI or Normalized Difference Phenology Index

The NDPI is the best tool for monitoring the early growth of winter crops after snowmelt. It is sensitive to spring vegetation activity.

CI or Custom Index

If you need a customized index for specific crops or climatic conditions, please contact us. We can help you implement your index formula, optimize thresholds, and ensure accurate data analysis.

Details

To expand the details to check the index values of your field, use the panel above the analytics window. Values can be displayed in hectares or percentages and downloaded in XLS format.

Indices details

Download

Using the download button, you can download, for example, an NDVI map in .tiff or .shp formats or field contours. The Shape format shows you the NDVI value in pixels at each point, and the TIFF format shows you a normal image with NDVI applied.

Indices download

Mask filter

The mask filter allows you to recognize clouds, cirrus clouds, and cloud shadows in the image to take these phenomena into account when calculating the index values.

*Data accuracy may not be perfect at this time. To verify the accuracy of the data, compare the captured image with a Natural color image using the Split view feature.

By default, all three masks are applied simultaneously. To disable one of them, uncheck the box next to it in the drop-down list.

NDVI clouds

Available features for crops

CropDisease RiskGrowth StagesYield EstimationVarietyWeather RiskIndex risk
U3 Bermuda Grass
Basil
Onions
Olive
Brussels sprout
Sprout
Winter barley
Grapes
Chia
Forage Grass
Agave
Radicchio
Celery
Willow
Thyme
St. John's wort
Senna
Roseroot
Red clover
Mullein
Mallow
Lemon Thyme
Rapeseed
Gotu Kola
Elder
Dandelion
Coriander
Caraway
Calendula
Artichoke
Anise
L1F Zoysia Grass
Jamur Zoysia Grass
Areca nut
Lemons
Other
Spice
Apple
Fruit
Almonds
Nuts
Vegetables
Alfalfa
Citrus
Tuber crops
Garlic
Teak
Spring barley
Midiron Bermuda Grass
Sorghum
Oranges
Tobacco
Guar beans
Avocado
Cushaw squash
Cupuasu
Zoysia Grass
Kale
Cocoa
Lucerne
Lemon Verbena
Lemon Balm
Lady's mantle
Hibiscus
Hemp
Fennel Sweet
Devil's claw
Belladonna
TifGrand Bermuda Grass
Kiwi
Pear
Pineapple
Cumin
Mint
Lavender
Cucumber
Pepper
Paprika
Sage
Vineyard
Watermelon
Coffee
Flax
Mixed cereals
Tomatoes
Valerian
Stinging nettle
Solidago
Rudbeckia
Rosehip
Moss
Passion flower
Narrowleaf Plantain
Acai palm
Cassava
Oil palm Elaeis guineensis
Eucalyptus
Bananas
Bermuda Grass
Guava
Winter rapeseed
Grass cover
Eggplant
Turnip
Cranberry
Vervain
Stevia
Spearmint
Safflower
Rosemary
Peppermint
Nasturtium
Moringa
Chamomile
Castor crop
Durian
Mango
Lentils
Peach
Date palm
Endive
Lettuce
Turmeric
Ginger
Yams
Plantain
Oil palm
Melon
Olive tree
Cashew
Sesame
Cherry
Poppy seed
Summer fallow
Pasture
Buckwheat
Cereal
Kola nut
Blackberry
Mustard
Peanuts
Sunbelt Bluegrass
Figs
Iceberg lettuce
Romaine lettuce
Lemon Grass
Hyssop
Feverfew
Echinacea
Clover
Blessed thistle
Papaya
Sorghum sudanense
Triticosecale
Snap Peas
Cauliflower
Broccoli
Okra
Hazelnut
Casuarina
Coconut
Green beans
Table grapes
Pomegranate
Rose
Plum
Raspberry
Blueberry
Strawberry
Zeon Zoysia grass
Zenith Zoysia grass
TiWay Bermuda grass
TifTuf Bermuda grass
Fescue grass
Emerald Zoysia grass
Centipede grass
Bluegrass
Pistachio
Tangerine
Spring rapeseed
Asparagus
Lazer Zoysia Grass
Chilli
Chard
Agave Cupreata
Parsley
Blue agave
Bitter melon
Becva festulolium
Reed
Silage sorghum
Silage corn (Maize)
Sainfoin
Winter rye
Winter triticale
Tea
Stadium Zoysia Grass
Southern Blue Bluegrass
Oil palm Hybrid OxG
Oil palm Elaeis Oleifera
Indian cress
Carrot
Yellow woodsorrel
Cranberry bean
Rest area
Black kale
Romanesco broccoli
Chicory
Broccoli rabe
Spinach
Savoy cabbage
Zucchini
Pumpkin
Shallot
Nolina
Yarrow
Mandarin
Fennel Bitter
Meyer Zoysia grass
Celebration Bermuda grass
Walnuts
Winter cereals
Canola
Rice
Cotton
Rye
Potatoes
Oats
Peas
Soybeans
Sugar beet
Corn (Maize)
Groundnut
Pigeonpea
Cowpea
Chickpea
Mungbean
Fababean
Millet
Sweet potato
Sunflower
Trinity Zoysia Grass
TifBlair Centipede Grass
Gum arabic
Milk thistle
Winter sorghum
Oilseed crops
Sugarcane
Lychee
Rambutan
Passion fruit
Spring cereals
Wheat
Pulses
Beans
Prism Zoysia Grass
Winter wheat
Primo Zoysia Grass
Spring triticale
Agave salmiana
Pecan
Dragon fruit
Rubber