Five hand-processed satellite report products for coast, crops, land change, storms, and all-weather monitoring. Clear deliverables, fixed pricing, ready for permits, due diligence, and disputes.
Satellite Reports for Land, Coast, Vegetation, and All-Weather Radar
Five report products, one standard of work. An analyst processes each one by hand, then delivers a finished PDF you can put straight to work: in a permit file, a loan package, a closing, a field plan, or a dispute. You do not need a specialist to read any of them. You needed a specialist to make them, and that is what you are paying for. Send us a site and dates, and we will tell you which product fits.
Depth, water-quality, and habitat layers for oyster growers, marinas, waterfront developers, coastal districts, and the consultants who serve them. The fast, affordable way to understand a coastal site before you survey it, permit it, or dredge it.
Crop-health maps, forestry biomass, soil-moisture proxies, and land-cover inventories for farms, timber owners, developers, and ag-lenders. A field-by-field view of any property without rolling a single truck.
A dated, independent before-and-after record of how a site changed between any two dates, for developers, owners' reps, site teams, buyers, and lenders who need to prove what happened and when.
The same before-and-after record, taken with radar that sees through clouds and dark, for storms, floods, and any moment, a clear-sky photo is impossible.
Moisture, standing water, and surface-change layers in any weather, for construction and civil firms screening sites and growers tracking field conditions.
When satellite-derived bathymetry beats a boat survey, and when it does not:
Satellite-derived bathymetry (SDB) is not a replacement for a survey in every case, and we will tell you so plainly. A boat survey still wins when you need engineering-grade precision, when the water is deep or persistently turbid, or when a regulator requires a specific survey standard. SDB wins when you need a broad, affordable, current picture: scouting a site before you commit to a full survey, monitoring how a basin or channel is shoaling over time, or comparing this year to last across a large area. The practical way to think about it is this: SDB tells you where to look and whether a problem is developing. A boat survey, when you still need one, can then be aimed precisely instead of sweeping the whole site blind. For many coastal operators and waterfront developers, an SDB report once or twice a year, with a targeted boat survey only when imagery flags an issue, costs far less than surveying everything on a fixed schedule. That is the whole idea behind our BottomBee line: to tell you where the money needs to go, so you do not spend it everywhere.
When radar beats optical, and when it does not: Two of our products show what changed:
Construction and Land Change Detection uses optical imagery, and Storm and Flood Radar Change Detection uses radar. People often ask which is better. The honest answer is that they are built for different conditions, and the smart move is knowing which one your situation calls for. Optical imagery is what most people picture when they think of a satellite photo. It records sunlight reflected off the ground, in colors close to what the eye would see, plus a few extra bands. It is detailed, intuitive, and excellent for vegetation and land-cover work. It has one hard limitation: it cannot see through clouds or at night. That is a problem precisely when you most need a look, in a storm or a flood. Radar does not depend on sunlight. It supplies its own signal and reads what comes back, so it sees straight through cloud, smoke, and darkness. The trade-off is that radar is less intuitive to interpret and requires more processing to make it usable by a non-specialist. For routine before-and-after work in fair weather, optical is the clear, readable choice. For storms, floods, and persistently cloudy sites, radar is the only thing that works. When a job calls for both, the Optical plus Radar Pair runs them together and cross-references the findings.
Not sure which product is the best fit?
Describe the decision you are trying to make, send us a site and dates, and we will point you to the right one.
Reading an NDVI map without a remote-sensing degree.
NDVI is the single most common map you will see in vegetation and crop work, and it looks more intimidating than it is. Here is everything you need to read with confidence.
NDVI stands for Normalized Difference Vegetation Index. It is built from two kinds of light. Healthy green plants absorb most of the visible red light that hits them and strongly reflect near-infrared light, which the human eye cannot see but a satellite sensor can. NDVI is a simple comparison of those two: a lot of reflected near-infrared and very little reflected red means dense, healthy vegetation. The result is a single number between -1 and 1 for every point on the map.
Values near zero or below mean bare soil, pavement, or water, with no living vegetation. Values from roughly 0.2 to 0.4 mean sparse or stressed vegetation. Values of about 0.6 or higher indicate dense, vigorous growth. Most NDVI maps color this scale so that red and orange mark the low, stressed values, and deep green marks the high, healthy ones.
The mistake people make is treating one NDVI map as a verdict. A single map is a snapshot, and a low value can simply mean that a field was recently harvested or has not yet emerged. NDVI becomes genuinely useful in two ways. First, as a comparison across one property on one date: the stressed corner of a field stands out clearly against the healthy rest of it, and that tells you where to walk. Second, as a comparison of the same field across time, a downward NDVI trend through a season is a real early warning.
So when you look at one of our Crop & Land Vegetation Analysis maps, do not try to read the absolute number. Read the pattern. Where is this property different from itself? Where has it changed since last month? That is where the decision is. A map cannot tell you why a zone is stressed, only that it is, and exactly where. That is still enormously valuable. It turns a whole-property problem into a small, specific place you can go stand in.
