Remote sensing of plant phenology as an indicator of climate change and for map** land
cover has received significant scientific interest in the past two decades. The advancing of …

Highlights•Remote sensing and geospatial technologies are relevant to the engagement of
Land System Science (LSS) with normative (eg research and policy) goals.•Remote sensing …

In arid and semi-arid regions, it is essential to monitor the spatiotemporal variability and
dynamics of vegetation. Among other provinces of Pakistan, Punjab has produced a …

Leaf chlorophyll content (LCC) is an indicator of plant physiological function and is an
important parameter in estimating the carbon and water fluxes of terrestrial ecosystems …

Researchers continually demonstrated through published literature how LiDAR could create
unparalleled measurements of ecosystem structure and forest height. There are a number of …

Monsoon crops play a critical role in Indian agriculture, hence, monitoring these crops is vital
for supporting economic growth and food security for the country. However, monitoring these …

The locally adjusted cubic-spline cap** (LACC) algorithm is well recognized for its
effectiveness in the global time series reconstruction of vegetation biophysical and …

Remote sensing phenology retrieval can remedy the deficiencies in field investigations and
has the advantage of catching the continuous characteristics of phenology on a large scale …

The hybrid nature of the mid-infrared (MIR) spectrum complicates the separation of reflected
solar irradiance from total energy. Consequently, existing studies rarely use MIR satellite …

Drought events threaten freshwater reservoirs and agricultural productivity, particularly in
semi-arid regions characterized by erratic rainfall. This study evaluates a novel technique for …