Satellite Canopy Analysis Finds Thousands of Tall-Tree Patches in Great Nicobar Project Area

October 23, 2026
3 mins read
Rain over forest in the Great Nicobar Biosphere Reserve
Rain over Great Nicobar Biosphere Reserve, photograph by Prasun Goswami, CC BY-SA 4.0, via Wikimedia Commons: https://commons.wikimedia.org/wiki/File:Rain_over_Great_Nicobar_Biosphere_Reserve.jpg

“`html

Frontline Satellite Canopy Analysis Flags Thousands of Tall-Tree Patches in Great Nicobar Project Zone

A new remote-sensing review by Frontline examines canopy heights across the Great Nicobar Island Development Project area, raising questions about how exceptionally tall and old trees are being identified and protected.

A satellite-based analysis, a narrow scope

A satellite-based canopy-height analysis published by
Frontline
attempts to map where unusually tall tree canopies exist across the Great Nicobar Island Development Project footprint, using satellite imagery rather than ground surveys.

Frontline’s analysis does not claim to confirm whether any specific tree has been felled or saved, and it is not an independently ground-verified inventory. It is a modeled, image-derived estimate of canopy height across the landscape, and Frontline frames it as such.

What the satellite data shows, according to Frontline

According to Frontline’s reporting, its canopy analysis identified more than 16,500 canopy-patch locations across the project area with estimated heights in the 35-to-64-metre range. Within that broader set, Frontline reports that nearly 1,700 patches were estimated at 43 metres or taller, and about 200 patches were estimated at 50 metres or taller.

These figures come entirely from Frontline’s analysis and are presented by the outlet as estimates derived from satellite imagery, not as a tree-by-tree ground census. Frontline states that the underlying imagery is mainly from 2018-2020, at a resolution of roughly 1.2 metres per pixel. At that resolution and vintage, a “canopy-patch location,” per Frontline’s methodology, represents a modeled estimate of where a tall canopy stood in satellite imagery several years before current clearance activity, not a verified, currently standing tree confirmed by field measurement.

Because the source imagery predates the present phase of construction and clearing by several years, Frontline’s figures describe historical canopy structure captured in the dataset rather than a real-time account of which individual trees remain standing today. No claim in this article states that any specific tree identified in Frontline’s analysis has since been cut down or has survived; that determination would require ground verification, which the satellite analysis does not substitute for.

The official forest clearance footprint

Separately from Frontline’s satellite analysis, the project’s forest clearance footprint is defined in regulatory filings. The Stage-I (in-principle) forest clearance approval on the government’s PARIVESH portal, issued on behalf of the Andaman and Nicobar Islands Integrated Development Corporation (ANIIDCO), covers a total of 130.75 square kilometres. That figure is composed of 121.87 square kilometres of forest land and 8.88 square kilometres of “deemed forest” land. The approval document is publicly available on the Ministry of Environment, Forest and Climate Change’s clearance portal:
Stage-I Forest Clearance Approval.

This acreage figure is distinct from, and should not be conflated with, Frontline’s satellite canopy-patch counts described above. The 130.75 sq km figure describes the area approved for diversion under the Stage-I clearance; Frontline’s canopy-patch counts describe estimated locations of tall tree canopies detected in satellite imagery within or near the broader project landscape. No established link connects the two data sets.

A clearance condition without a public yardstick

Frontline’s reporting also draws attention to a condition attached to the forest clearance: a requirement to safeguard exceptionally tall and old trees “as far as possible” during project implementation. According to Frontline, this condition does not come with a published, objective criterion for what height, age, girth, or species qualifies a tree for this protection, nor is there a publicly available list naming or mapping the specific trees the condition is meant to cover.

That gap is part of why Frontline’s satellite-based canopy analysis has drawn attention: in the absence of a public list of protected trees, independent estimates of where unusually tall canopies exist offer one external data point for a landscape that otherwise lacks public documentation. However, Frontline’s analysis does not establish that its canopy patches correspond to, overlap with, or are covered by the clearance condition’s “exceptionally tall and old trees” language. The clearance condition and the satellite estimate are reported here as two separate, unlinked pieces of information, not as a match between a count and a legal requirement.

Why the distinction matters

Satellite-derived canopy-height estimates and ground-verified tree surveys answer different questions. A canopy patch detected in 1.2-metre-resolution imagery from 2018-2020 indicates that something tall was present in the canopy at that time and location; it does not, by itself, identify a tree species, confirm the tree’s current status, or substitute for a forest department’s ground inventory. Frontline’s figures carry the limitations of any remote-sensing estimate: resolution constraints, classification uncertainty, and a multi-year gap between image capture and the present.

Readers evaluating claims about tree loss or preservation in the Great Nicobar project area should treat the canopy-patch counts as Frontline’s modeled estimates, the 130.75 sq km figure as the official Stage-I clearance footprint from PARIVESH records, and the “safeguard as far as possible” condition as a clearance requirement that, per Frontline, still lacks a publicly disclosed criterion or tree list — with no confirmed overlap between the condition’s scope and Frontline’s canopy-patch data.

“`

Rahul Somvanshi

Rahul, possessing a profound background in the creative industry, illuminates the unspoken, often confronting revelations and unpleasant subjects, navigating their complexities with a discerning eye. He perpetually questions, explores, and unveils the multifaceted impacts of change and transformation in our global landscape. As an experienced filmmaker and writer, he intricately delves into the realms of sustainability, design, flora and fauna, health, science and technology, mobility, and space, ceaselessly investigating the practical applications and transformative potentials of burgeoning developments.

Leave a Reply

Your email address will not be published.

Red weaver ants building a leaf nest on a mango tree
Previous Story

Can Red Weaver Ants Protect Mango Trees From Pests?

Tree-lined footpath in Jayanagar, Bengaluru
Next Story

What Bengaluru’s Rasthe Footpath App Really Does

Latest from Environment

Don't Miss

A butterfly photographed in the Amazon Basin

Deforestation Linked to Duller Amazon Butterfly Colours

A 2020 study finds reduced wing-colour diversity in