iTechGuides is reader-supported. When you buy through links on our site, we may earn an affiliate commission. As an Amazon Associate I earn from qualifying purchases. Learn more
For recovery after a wildfire or other abrupt disturbance, use a consistent Normalized Burn Ratio (NBR) time series as the primary signal and calculate differenced NBR (dNBR) to quantify change between a pre-disturbance baseline and later observations. Add NDVI for an easy-to-read greenness trend, EVI when dense canopy or atmospheric and soil-background effects weaken NDVI, SAVI or MSAVI where exposed soil is prominent, and NDMI or NBR2 when moisture stress is part of the question. These indexes measure spectral conditions, not proof that native species, habitat structure, or ecosystem function has returned.
Which satellite vegetation indexes are best for monitoring plant recovery?
The best index depends on what changed and what you mean by recovery. Fire removes or chars vegetation and changes canopy moisture, so NBR and dNBR are the most directly targeted choices for a fire-recovery record. NDVI and EVI describe greenness and canopy density; they are useful complements but can respond to seasonal growth, clouds, or non-vegetation conditions. SAVI and MSAVI reduce the influence of bright exposed soil, while NDMI and NBR2 add moisture information.
The recommendation here is strongest for wildfire and other disturbance monitoring. For drought recovery, harvest regrowth, storm damage, or restoration on bare ground, select the index that matches the mechanism and keep a stable local baseline. No index has a universal value that proves an ecosystem has recovered across all biomes.
Choose the index by the decision you need to make
| Index | Best role in a recovery workflow | Main limitation |
|---|---|---|
| NBR | Disturbance-focused baseline and repeated monitoring, especially after fire; contrasts near-infrared and shortwave-infrared reflectance. | Needs consistent sensor, timing, processing, and site context. A spectral response is not an ecological verdict. |
| dNBR | Difference between NBR observations, commonly pre-fire and post-fire, for mapping disturbance change or severity; repeated differences can describe a recovery trajectory. | Interpretive bands vary with ecosystem, date, sensor, and sign convention. NASA’s example ranges are guides, not universal thresholds. |
| NDVI | Simple, familiar red/near-infrared greenness or vegetation-density trend; useful for broad monitoring and rapid within-season changes. | Can saturate in dense vegetation and is confounded by clouds, aerosols, seasonality, cold conditions, and non-vegetation surfaces. |
| EVI | Complement to NDVI in high-biomass canopies or where atmospheric haze and land-surface background need stronger correction. | Still depends on clear, quality-screened observations and does not replace a disturbance-specific index. |
| SAVI or MSAVI | Soil-adjusted greenness in sparse, arid, or recently disturbed areas with substantial exposed ground. | Context-specific; compare against a stable local baseline rather than a generic target value. |
| NDMI or NBR2 | Moisture and water-stress context. NBR2 uses two shortwave-infrared bands and is especially sensitive to vegetation moisture. | Moisture can change independently of longer-term species, structure, or functional recovery. |
Why NBR is the core signal after fire
NBR is calculated as (NIR - SWIR) / (NIR + SWIR). For Landsat 8 and 9, NASA’s product uses Operational Land Imager (OLI) Band 5 for near-infrared and Band 7 for shortwave-infrared at 30-meter resolution. Healthy, moisture-rich vegetation generally produces a higher positive NBR, while recently burned or charred surfaces tend to produce lower or negative values.
#1 Best Overall
- Powerful Turbo Fan:CAGIWIRU Electric Air Duster have reached speed up to 130000RPM,Can efficient remove dust and debris.With LED light and Three Adjustable Speed to meet with different cleaning tasks.
- With Attached USB C Fasting Charging cable.Charing 3 hours,Enjoy up to 240 minutes of use on the lowest setting, For third speed can use for 25mins.with four charging options to meet with your needs.
- Wide Application: attached 5 different nozzles,making it suitable for a variety of scenes, such as car,pet, pc, keyboards, and other electronic devices. It also serves for office and home clean duster.
- Handy Design & Portable:Cordless air duster electric nozzle is Light weight and small size, design and comfortable to hold and space saving, convenient to carry around. You can put it in your room or inside the car without taking up space.
- Economical &Reusable: Built durable materials with a long-lasting battery,our CAGIWIRU air duster it's a sustainable alternative to disposable air cans.
NBR is useful because fire changes both vegetation structure and moisture, creating a stronger near-infrared/shortwave-infrared contrast than a generic greenness measure alone. Build a time series from the same product and processing method, then compare each recovery observation with a pre-fire or pre-disturbance baseline. A single post-fire image tells you condition at one moment; the sequence shows whether the spectral signal is moving toward the baseline, staying flat, or diverging.
Use dNBR to measure change, not to label an ecosystem
Define your subtraction before you begin. A common convention is dNBR = pre-disturbance NBR - post-disturbance NBR, so a large positive value indicates a strong decline after burning. For later recovery intervals, apply the same orientation to the baseline and follow-up dates and document it in the map metadata. Reversing the order reverses the sign and can make an otherwise identical event appear to have the opposite meaning.
NASA’s HLS explainer gives these illustrative dNBR ranges: −0.5 to −0.1 for regrowth, −0.1 to 0.1 for unburned areas, 0.1 to 0.66 for low-to-moderate severity, and values above 0.66 for high severity. They are guide ranges for the stated interpretation, not universal thresholds for every ecosystem, sensor, time window, or restoration endpoint. Ash, bare soil, topography, season, and the interval between images can all shift the value.
When NDVI is the right complement
NDVI uses the contrast between near-infrared and red reflectance and is widely understood as a greenness or vegetation-density indicator. Its familiarity makes it useful when communicating a recovery trend to people who do not work with burn metrics, and it can reveal quick within-season changes that a slower structural signal may miss.
Do not call NDVI a complete plant-health score. NASA notes that low NDVI can also result from cold conditions or clouds, not only reduced growth. Atmospheric haze, view-angle differences, changing soil exposure, and seasonal phenology can produce apparent recovery or decline without a corresponding ecological change. In dense canopies, NDVI may saturate, so additional biomass produces little extra index response. Keep acquisition dates comparable by season and mask observations with poor quality flags before calculating trends.
Rank #2
- Screen Cleaner is Your Screen’s New Bestfriend! - EVEO is proud to present a screen cleaner that’s perfectly suited for your TV. Meet your new screen cleaner, computer screen cleaner, laptop cleaner, iPad cleaner, Macbook,tv cleaner or any other electronic device. Our screen cleaner spray and wipe along with the included plush microfiber cloth, easily removes dust, fingerprints & other smudges on the screen’s surface. Clean effectively for a streak-free screen
- Gentle on your Screens - Our screen cleaner spray and wipes is compatible to be used even for the most sensitive LCD, LED, CRT, and OLED screens in proper use. Be at ease knowing that this product is compatible with all the major brands: LG, SONY, Samsung, Sharp, iPad, iPhone, Android screens, Kindle, PC monitors - we’ve got you covered! Can be used as LCD screen cleaner, tv cleaner, smart tv screen cleaner, and more
- Premium Super Soft Plush Microfiber Cloth - Included in this efficient screen cleaning kit. This screen cleaner spray and wipe has our signature plush microfiber cloth specially designed to comply with screens and monitors and leave them streak-free. Has been shown to effectively absorbs stubborn stains, zero streaks, and no fiber shedding. Always use this together with our screen cleaner for the best results
- Easy-to-Use Screen Cleaner Kit + microfiber cleaning cloth - The EVEO Screen Cleaning Kit will easily be your new favorite tool when it comes to taking care of the things you love most, quick and easy solution for a streak-free screen. Simply screw on the sprayer gun on the screen cleaner bottle. Spray the cleaning liquid onto the microfiber cloth, then wipe the screen until desired cleanliness & shine is achieved.
- Quality Screen Care Kit Worth Purchasing - Enjoy a convenient Screen Cleaner anytime, anywhere you need it. Your satisfaction is our top priority. We stand behind the quality of our products and that’s why, you shouldn’t be worrying at all. We manufacture the Best Screen Cleaner. and can be used for laptop cleaning kit, laptop screen cleaner, tv screen cleaner for smart tv. MacBook screen cleaner, monitor cleaner or screen cleaner spray for electronic devices with microfiber cleaning cloth
Why EVI helps in dense or hazy scenes
EVI is designed as a complement to NDVI where vegetation is dense and the red/near-infrared signal loses sensitivity. NASA describes it as more sensitive to differences in heavily vegetated areas and better at correcting for atmospheric haze and land-surface background. That makes EVI useful for closed forests, vigorous shrublands, and post-fire areas where a recovering canopy becomes dense enough for NDVI to flatten.
EVI is not a universal replacement for NBR. It remains vulnerable to cloud contamination and missing observations, and it describes canopy greenness rather than burn severity or moisture status. Plot EVI beside NBR or dNBR so a rise in greenness can be evaluated alongside the disturbance-specific signal.
Free tools Windows power users keep installed
One-click scans. No signup required.
When exposed soil makes SAVI or MSAVI preferable
Recently burned slopes, deserts, shrublands, and restoration sites may contain more soil than green vegetation. Bright or dark soil can dominate the red and near-infrared reflectance and make a greenness index appear to change even when vegetation has not. Soil-Adjusted Vegetation Index (SAVI) and Modified SAVI (MSAVI) are designed to reduce that soil-brightness effect.
Use one of these indexes when field conditions or imagery show substantial bare ground, then compare the result with NBR and a local pre-disturbance baseline. Soil adjustment reduces one confounder; it does not remove cloud, shadow, topographic, seasonal, or moisture effects. A site-specific baseline is more defensible than applying a single SAVI or MSAVI target to every landscape.
Add moisture information with NDMI or NBR2
Recovery can look green while plants remain water-stressed, or moisture can increase temporarily before species composition and structure recover. The Normalized Difference Moisture Index (NDMI) adds that water-stress context. NASA’s HLS description also identifies NBR2, based on the two shortwave-infrared bands, as a moisture-sensitive view.
Rank #3
- 【Large size】：Measuring 800 x 300 mm/ 31. 5×12 inches, which is wider and taller than others. Large mouse pad can perfectly fit your keyboard and mouse of any size, and there is also ample space for peripherals such as phones, tablets, etc.
- 【LED backlight mouse pad】：Blade Hawks RGB mouse pad provides 7 static modes and 7 dynamic modes will give you the options you are looking for. Power-off memory function remembers the last lighting mode you selected. The super glow fiber Chroma will give you a colorful gaming setup that you want.
- 【Anti-slip rubber base】：Made from Natural rubber, this gaming mousepad will firmly grip your desktop, allowing you to enjoy the ultimate precision in the games you are most passionate about. It also comes with a texture that enhances this ability even further.
- 【Smooth and waterproof surface】: Micro-textured cloth surface, for extremely precise mouse control and a smooth movement. When liquid splashes on the gaming mouse pad, it forms water droplets and slides down. Will not delay your work or gameplay.
- 【Plug and play】: This mouse and keyboard pad is powered by USB, plug and play, no driver required. One button control light modes. Press one time to change the lighting mode, press twice to change the brightness, press and hold about 3 seconds turn ON/OFF.
Use NDMI or NBR2 when the management question includes drought, fuel moisture, irrigation, seasonal drying, or hydrologic stress. Treat a moisture rebound as evidence of changing water conditions, not as proof that native plants, habitat layers, or ecosystem functions have returned. Compare moisture indexes with precipitation, soil-moisture, or field observations when those data are available.
Recommended Free Tools
Use a data stream that can support a time series
NASA’s Harmonized Landsat and Sentinel-2 (HLS) vegetation-index suite combines Landsat 8/9 with Sentinel-2A, 2B, and 2C. The product is described as 30-meter resolution with a stated one-to-two-day revisit. That interval is a constellation-level opportunity, not a guarantee that every location has a valid observation every one or two days: clouds, aerosols, shadows, snow, and quality screening can leave gaps.
NASA’s Landsat NBR product is also 30 meters. Its portal notes that products may be experimental or research-grade and are not guaranteed to be routinely updated, so check the product status and processing documentation when designing an operational program. Keep the sensor or harmonized product, band definitions, scaling, cloud mask, and compositing method consistent throughout the series.
A practical workflow for monitoring post-fire recovery
- Define the recovery question. Decide whether you need burn severity, return of green cover, canopy-density change, soil-confounded regrowth, or moisture stress. Identify the disturbance date, area, ecosystem type, and intended management decision.
- Set a baseline. Select one or more cloud-free pre-fire observations from the same season, preferably over multiple years if phenology is variable. Record the date range, sensor, product version, projection, and quality-screening rules.
- Prepare the imagery. Apply the provider’s cloud, cloud-shadow, aerosol, snow, and saturation masks. Remove pixels affected by glare, instrument artifacts, or poor geolocation. NASA Earth Observatory warns that clouds and aerosols can block the surface, glare can saturate pixels, and temporary instrument malfunctions can distort an image.
- Calculate the core index. Generate NBR for every accepted date using the same bands and scaling. If your platform supplies NBR directly, verify its band mapping and units rather than combining products with different definitions.
- Calculate change layers. Compute dNBR from the documented baseline and each follow-up date. Keep the subtraction order fixed. For interval-to-interval change, label the dates explicitly so a positive or negative value has an unambiguous meaning.
- Add complementary indexes. Plot NDVI for an accessible greenness view, EVI for dense canopy or haze-sensitive conditions, SAVI or MSAVI for exposed soil, and NDMI or NBR2 for moisture questions. Do not add every index automatically; each should answer a stated question.
- Use comparable timing. Compare like seasons or apply a phenology-aware baseline. A spring post-fire image compared with a late-summer pre-fire image can show seasonal growth rather than recovery.
- Summarize uncertainty. Report the number of valid observations, cloud and shadow masking, compositing window, spatial resolution, and any gaps. Longer averages can reduce cloud-related noise but sacrifice temporal and spatial detail.
- Validate the pattern. Where decisions or safety consequences are significant, visit field plots or use independent observations. Check whether spectral changes correspond to live cover, species composition, canopy height, litter, erosion, or other ecological measures.
How to interpret a recovery trajectory
Look for a sustained, seasonally consistent movement rather than one favorable pixel or date. A rising NBR toward the pre-fire range can indicate that live, moisture-rich vegetation is replacing char and bare ground. A rising NDVI or EVI can indicate increasing green cover. A falling dNBR under a fixed pre-fire-minus-follow-up convention can indicate reduced contrast with the baseline. Confirm that the pattern persists across several valid observations and is not caused by a change in cloud masking, illumination, snow, or soil exposure.
Separate spectral recovery from ecological recovery. A grass flush after rain may raise NDVI quickly while woody structure, native species, nesting habitat, nutrient cycling, and erosion control remain far from their pre-fire state. Conversely, a recovering forest may show modest greenness while structure develops over years. Use field plots, vegetation surveys, repeat photographs, lidar, or other structural and functional measures when those outcomes matter.
Rank #4
- 【Softer and More Comfortable】Vaydeer wrist rest has unique diamond pattern, which is the combination of softness and aesthetics. The materials of wrist rest are improved into higher quality memory foam and covered with silky smooth lycra. The computer wrist rest makes you as comfortable and cushiony as like rest your wrists on clouds.
- 【Ergonomic Wrist Saver】The wrist rests for keyboard and mouse comes with a 17.32×3.15×0.83 inch keyboard wrist pad and a 5.94×3.15×0.83 inch mouse wrist support. Based on ergonomic design, the unique concave shape is the perfect fit for your wrist joints. The wrist rest pad fits most computer keyboards and laptops, improve hand and wrist posture, release your wrist and arm stress.
- 【Non-Slip Rubber Bottom】Featuring an anti-skid silicone base on the bottom, this wrist keyboard support stays firmly in place on your desk, preventing the padding from sliding around, ensuring stable and consistent wrist support during extended computer sessions.
- 【Better Experience & Pain Relief】Our keyboard arm rest is beneficial to alleviate the soreness caused by direct contact and friction between your arm and a hard desk surface, reducing the risk of wrist fatigue or carpal tunnel. The soft texture of memory foam can evenly distribute the pressure around your wrists and provide good support with just enough give.
- 【Helpful in Multiple Scenarios】Whether you're working, studying, writing, typing, gaming, this keyboard and mouse rest combo is an essential accessory to add comfort and support to your hands and wrists. It’s also a great gift for men, women, family, friend, coworker, gamer, teacher, etc.
What the Black Hills study does—and does not—show
Chen and Ohlen’s 2009 USGS-recorded study examined fire-related land-cover change in the Black Hills of South Dakota using 18 Landsat images spanning 1987–2007. Nine field plots were selected using the Index of Fire Impact (IFI) and Composite Burn Index data. In that Jasper Fire and Black Hills setting, NBR and IFI were more suitable for long-term monitoring, while NDVI and EVI were more sensitive to rapid changes within one year.
This result is useful for choosing complementary signals, but it is not a universal ranking. Different fuels, climates, burn severities, canopy types, image timing, and restoration goals can change which index responds first or most clearly. Treat the study as evidence from one landscape and design a local validation plan before transferring its conclusions elsewhere.
Common failure modes and fixes
A single cloudy image looks like severe decline
Discard or mask the observation using quality bands and inspect neighboring dates. Clouds, haze, and shadows can lower greenness and distort NBR. If gaps are frequent, use a documented compositing window, understanding that longer windows reduce temporal detail.
NDVI rises but the burn scar still looks structurally damaged
Early herbaceous growth can increase greenness without restoring canopy height, woody cover, or habitat. Keep NBR, EVI, and field or structural measurements in the analysis instead of treating NDVI as a recovery certificate.
Quick wins for a faster PC:
Scan for outdated or missing drivers - takes under a minuteDriver Scan →Clear out junk files and repair common Windows errorsFree Scan →Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →dNBR values have the wrong sign
Check whether your software calculated pre-minus-post or post-minus-pre. Recompute with one convention, state it in the methods, and do not compare signed values produced by different conventions without conversion.
Best Value
- 【No Drill Mounted】Cable management tray can be assembled in as little as 3 minutes or less-simply. Side clips easily clampe the edge of desk, pass through the holes on the sides, and secure excess cables with baskets. Desk cable management supports inward or outward installation to meet your needs in different scenarios, and provides you with great convenience when collecting and organizing wires.
- 【Rubber Pad Protects Desk】Wire organizer under desk built-in soft rubber pads on the clamp protect your desk from scratches, so you will not damage your furniture or office.
- 【Sturdy and Beautiful】Cord management under desk is made of high-quality carbon steel and holds about 15 lbs. The wire basket has 2 holes on each side of the tray to enable your cables to pass freely. Cable baskets are suitable for desk thickness use from 0.4" to 2.4".
- 【Space Saving & Keep Organized】Desk cable management tray holds all your power cords, outlet strips, USB hubs and computer transformers hidden from your feet, and the data cables will not enter the vacuum cleaner to keep your desk clean and tidy. Desk wire organizer is also suitable for use in the kitchen and outdoors.
- 【Reduce Safety Risks】Cable tray under desk keeps all plugs away from your kids, no more worry about tripping. Using 2 holes wire tray saves extra space, helps you easily cabling and wire protection. The mesh design is not easy to accumulate dust, but avoids safety accidents caused by messy wires.
Recovery appears only where soil is dark or wet
Inspect SAVI or MSAVI for soil influence and NDMI or NBR2 for moisture. Compare against an unburned reference area with similar soil, slope, and season. A temporary moisture pulse can mimic broader recovery.
Different sensors produce a step change
Do not splice raw index values from unrelated processing chains without checking band definitions, calibration, spatial resolution, and atmospheric correction. HLS is intended to harmonize Landsat and Sentinel-2, but retain product metadata and quality flags for every observation.
A defensible reporting template
For each map or chart, state the index, formula or product, sensor and bands, spatial resolution, acquisition dates, baseline definition, dNBR sign convention, masking rules, compositing window, number of valid observations, and ecological limitations. Report trends by management unit or burn-severity class rather than implying that every pixel shares one trajectory. Include representative field checks and identify areas where clouds, shadows, topography, or mixed pixels make the result unreliable.
Crashes, No Sound, or Screen Glitches?
Random freezes, missing sound and display glitches usually trace back to one bad driver. Find and replace yours safely.Free scan · under a minuteWindows Errors? Fix Them Before They Spread
Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallThe strongest general design is therefore a deliberately small stack: NBR and dNBR for disturbance change, NDVI or EVI for green-cover dynamics, SAVI or MSAVI where soil dominates, and NDMI or NBR2 where moisture is central. Keep the stream consistent, interpret it seasonally, and verify spectral trends against the ecological attributes your project actually promises to restore.
Quick Recap
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
