The Normalized Difference Vegetation Index (NDVI), a widely used remote sensing metric, provides valuable insights into vegetation health and density. By calculating the ratio of near-infrared (NIR) to red reflectance, NDVI quantifies greenness and helps differentiate various habitats, including forests. However, while NDVI is effective for assessing vegetation status, it has limitations. These include sensitivity to atmospheric effects, saturation at high vegetation cover, and variations due to sensor characteristics. Understanding these limitations is crucial for accurate interpretation, especially in applications like Unmanned Aerial Systems (UAS), where users may lack remote sensing expertise. In summary, while NDVI offers valuable information, it should be used alongside other indices and contextual data to fully assess forest potential.
Fully Agree. A single metric never tells the whole story. Plus, one should never use any set of metrics naively. Context and experience are essential.
NDVI is a useful screening tool. Since it can lead to wrong interpretations if you rely solely on NDVI, there must be another metric used to get a reliable interpretation. Ground truth verification can complement NDVI use. Slope and aspect may also be considered.
Bonsoir!
- Les écosystèmes forestiers présentent des habitats particuliers, ils suivent en général les formations végétales arborées (Pins-Pinus, Chene-Quercus, Cèdres-Cedrus, etc.....),
- Chacun d'eux comporte des habitats où peuvent vivre et prospérer la faune et la flore, cela est valable dans les pays du Circum Méditerranéen.
- Plus les sujets forestiers sont vigoureux non perturbés par l'homme, plus nous pouvons rencontrer des habitats ou encore on peut dire des niches stables capables de fournir les nutriments de la chaîne alimentaire.
In a way, yes, but it is necessary to add other indices such as the health index, which is determined by the NDVI index. If the NDVI is below 0.15, most likely all plants in that part of the field are dead. Typically, these values correspond to a plowed soil without any vegetation. 0.15−0.2 is also a low value. This could indicate that the plants overwintered in the early phenological phase, before tillering. 0.2−0.3 is a relatively good value. The plants have probably entered the tillering phase and have resumed vegetation. 0.3−0.5 is a good value. Above 0.5 is an abnormal value for the period after overwintering and before the vegetation period.
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