PHOTOGRAPHINGSLF FIELD GUIDE
Your photos are data. Learn the three essential shots that get iNaturalist observations to Research Grade fast — and make sure every SLF sighting you log actually reaches the scientists tracking the invasion.
Why It Matters
Why Photos Matter
iNaturalist Research Grade requires at least two independent identifications agreeing on the same species. A clear photo means the community can verify quickly — sometimes within hours. A blurry photo sits in "Needs ID" for weeks or never gets confirmed.
Research Grade SLF observations feed directly into the GBIF biodiversity database, which USDA and state agriculture departments query when deciding where to deploy rapid response teams. A documented new-county sighting with a sharp photo can trigger an on-the-ground inspection within days.
Named contributors — people with iNaturalist accounts rather than anonymous guests — build credibility over time. Observers with established track records have their IDs weighted more heavily in the community verification process. Create an account even if it takes two minutes.
Research Grade = real data
Only Research Grade observations enter GBIF. "Needs ID" sightings stay local. Your photo quality determines whether your observation counts for science.
New county = rapid response
A verified Research Grade observation in a county with no prior SLF record is flagged automatically for USDA review. Your photo can trigger a state inspection.
Named vs. anonymous
Anonymous iNaturalist observations are valid but carry less weight in ID disputes. A named account with 10+ past observations gets faster agreement from the community.
Volume matters too
Observations with population counts (e.g., "approx 50 adults on one Tree of Heaven") are especially valuable for density mapping. Use the Notes field.
Core Technique
The 3 Essential Shots
These three angles give reviewers everything they need to confirm species, rule out lookalikes, and push your observation to Research Grade.
Dorsal View — Wings Closed
Primary ID shotPhotograph from directly above with the insect's wings folded flat against its body. This reveals the gray forewings covered in black spots arranged in neat rows — the defining ID feature that separates SLF from every common lookalike. This is the shot that iNaturalist's AI and human reviewers look at first.
- —Position yourself directly above the insect
- —Tap your screen on the wing pattern to lock focus there
- —Get as close as 8–12 inches — detail is everything
- —If you can count individual spots, the photo is sharp enough
Side Profile
Confirms body shapeCrouch or kneel to get level with the insect and photograph from the side. This shows body shape (lanternflies are broader and more rounded than stink bugs), the characteristic yellow abdomen with black horizontal stripes, and leg structure. Reviewers use this to rule out brown marmorated stink bug, which is misidentified as SLF constantly.
- —Get camera lens at the same height as the insect
- —Aim to show the full body from head to wing tip
- —The yellow/black striped abdomen is your secondary ID marker
- —Focus on the head — the blunt, non-pointed snout matters
Wings Open — Hindwing Visible
Clinches the IDWhen the insect opens its wings — usually during takeoff or when startled — photograph immediately. The bright crimson hindwing with black spots near the body and a white band across the middle is completely diagnostic. No other insect in North America looks like this in flight. A sharp photo of the hindwing alone is enough for Research Grade.
- —Use burst mode — wings open for only a fraction of a second
- —Stay still and patient: the insect will often open wings before flying
- —Even a partially open wing showing red is enough
- —Don't chase it — let it settle and wait for the next wing spread
Equipment
Phone Camera Tips
No dedicated camera needed. Modern phone cameras can capture Research Grade SLF photos — if you know the settings.
Tap directly on the insect on your screen before shooting. Default autofocus will often lock on background bark instead of the bug. Manual tap-to-focus is the single biggest quality improvement you can make.
Hold down the shutter button (or use volume button in burst mode) to fire 10–15 frames. SLF move constantly — one frame of 15 will be sharper than a single careful shot. Delete the blurry ones after.
Phone cameras struggle to resolve insect detail beyond 18 inches. Get close. If the insect moves away, follow it. A close photo in bad light beats a sharp photo from 3 feet.
Flash at close range blows out wing pattern detail — you lose the spot rows that are needed for ID. More importantly, flash startles the insect into flight. Turn it off.
Turn on grid lines in your camera settings. Use the center zone for focus. Grid lines also help you compose a level shot for the dorsal view.
Direct sunlight creates harsh shadows that obscure wing pattern. If the insect is in full sun, position yourself to cast shade over it — or find a moment when a cloud diffuses the light. Overcast days produce the best SLF photos.
Portrait mode (or macro mode on newer phones) focuses tight on close subjects and blurs background bark. This is perfect for SLF photography — it isolates the insect from cluttered bark backgrounds and forces the camera to maximize detail on the subject rather than the tree.
Step-by-Step
iNaturalist Upload Workflow
From photo to Research Grade in seven steps. This workflow gets your observation into the scientific record as fast as possible.
Open the iNaturalist app
Download iNaturalist from the App Store or Google Play if you don't have it. Create a free account. The web version at inaturalist.org also works from any browser.
Tap "Add Observation"
Hit the green plus (+) button at the bottom of the screen. You can take a new photo directly in the app, or import photos you've already taken from your camera roll. Import from camera roll if you used burst mode — pick the sharpest frame.
Add all 3 photos
You can attach multiple photos to one observation. Add your dorsal shot, side profile, and hindwing shot as a set. More photos = faster verification. Tap the photo icon again to add additional shots to the same observation.
Let the AI suggest an ID
iNaturalist's computer vision will suggest "Spotted Lanternfly (Lycorma delicatula)" based on your photo. If it shows a different suggestion, scroll down in the suggestion list — SLF is usually in the top 3 for any in-range observation with a clear dorsal shot.
Confirm your own ID
Tap "Spotted Lanternfly" to add your identification. Do not skip this step — an observation with no user ID attached stays "Needs ID" longer. Your ID plus one other person's ID agreement gets you to Research Grade.
Verify location is correct
iNaturalist automatically tags your GPS location. Check that the map pin looks right before submitting — it should be near where you were standing. Accurate location data is what triggers range expansion alerts to USDA and state agencies.
Submit and monitor
Tap Submit. Your observation is now live. Check back in 24–72 hours — other iNaturalist users (and the platform AI) will add ID agreements. Once you have 2+ agreeing IDs and no dissenting IDs, your observation reaches Research Grade, which feeds directly into GBIF and USDA tracking databases.
Check Research Grade status: Open your observation and look at the "Community ID" section. A green "Research Grade" badge means your observation is now in the scientific database. "Needs ID" means more community IDs are needed — share the link in a local naturalist group to speed this up.
Fall & Winter
Egg Mass Photography
Egg masses are your off-season contribution. October through April is prime time — every mass you document and report prevents 30–50 new SLF from hatching.
Egg masses are laid in fall and overwinter until April. This is the best time to find and photograph them — and to scrape them. A single egg mass contains 30–50 eggs.
Place a quarter, dime, or ruler directly next to the egg mass before photographing. Size reference is crucial — reviewers need to distinguish SLF egg masses from similar-looking moth egg deposits.
SLF lays eggs on rough and smooth surfaces alike — tree bark, fence posts, stone walls, patio furniture, car bumpers. Photograph the surface context. Eggs on a smooth metal surface, for example, look different than on bark and may need a note.
Fresh masses look like gray putty or mud smears, covered in a waxy coating. Older scraped or hatched masses look like rows of brown seed-like capsules. Note which state you're seeing in your observation notes.
Egg masses in a new county or state should also be reported to USDA APHIS directly at reportpests.usda.gov. A new county record documented on iNaturalist alone may not trigger a rapid response — the APHIS report does.
Once you have your photo and have submitted the observation, scrape the egg mass into a bag of hand sanitizer or rubbing alcohol. Use a plastic card, old gift card, or putty knife. The eggs must be submerged in alcohol to die — simply scraping them off dry and leaving them on the ground allows many to survive.
Full egg mass scraping guide →Common Mistakes
What NOT to Do
These mistakes keep observations stuck in "Needs ID" — or worse, contribute false data to the tracking record.
A blurry photo cannot be ID'd to species and won't reach Research Grade. Use burst mode and select the sharpest frame. One sharp photo is worth ten blurry ones.
If the wing spots aren't visible, the photo is too far. Get closer or skip the shot. "I saw one" without a usable photo still counts as your own sighting — you can post a photo-free observation — but it won't contribute to Research Grade data.
A single dorsal shot can be enough, but three shots from different angles get your observation verified significantly faster. Always aim for dorsal + side profile at minimum.
Spotted lanternfly adults don't survive winter frosts. If you're reporting a live adult in January in Pennsylvania, double-check your ID — you may have a stink bug. iNaturalist reviewers will flag seasonally implausible reports.
Brown marmorated stink bug is the most common false positive — it's shield-shaped, brown, has mottled coloring, and lacks the wing spot rows and red hindwing of SLF. If you're uncertain, post anyway and let reviewers correct the ID. That's what the community is for.
Photos of SLF you just killed are valid observations! But include a note that the specimen is dead and not found in this condition. iNaturalist counts intentionally killed specimens the same as wild sightings for range data.
Spread the Word
Sharing Your Photos
Seek App for Kids
Download the Seek app by iNaturalist — it's the family-friendly version that uses real-time AI ID without creating an account. Kids can hold the phone up to an SLF and watch it identify the species in seconds. Observations can optionally sync to iNaturalist with a parent account.
Social Media: Strip Location First
Before sharing SLF photos on social media, strip EXIF location data from the image. On iPhone: Photos → Share → select "No Location" in the share sheet. On Android: use a free EXIF editor app. Your county is public information — your exact home address isn't. Share county-level location in caption text instead.
Tag @lanternflywatch
Tag @lanternflywatch on Instagram, Bluesky, or X with your SLF photos. We share standout citizen science sightings, notable new-county records, and egg mass finds in our community highlights. High-quality dorsal or hindwing shots are especially likely to get featured.
iNaturalist project: Join the Spotted Lanternfly (Lycorma delicatula) project on iNaturalist to see all North American observations in real time. You can filter by state, county, or date range — useful for understanding local population pressure before deploying traps or treatment.
Related Guides
Egg Mass Prevention
Find, photograph, and destroy egg masses before spring hatching.
Read guide →SLF Lookalikes
Side-by-side comparison of SLF vs. stink bugs, lanternflies, and other common misidentifications.
Read guide →Circle Traps
After you document them — catch them. Chemical-free trapping guide.
Read guide →Citizen science updates
Document the Invasion.
Weekly briefings on SLF sightings, new county records, and what citizen scientists are finding near you. Free, unsponsored.