Advances in hyperspectral remote sensing of vegetation and agricultural crops

PS Thenkabail, JG Lyon, A Huete - Fundamentals, sensor systems …, 2018‏ - taylorfrancis.com
Hyperspectral data (Table 1) is acquired as continuous narrowbands (eg, each band with 1
to 10 nanometer or nm bandwidths) over a range of electromagnetic spectrum (eg, 400 …

[كتاب][B] Remote sensing for sustainable forest management

SE Franklin - 2001‏ - taylorfrancis.com
As remote sensing data and methods have become increasingly complex and varied-and
increasingly reliable-so have their uses in forest management. New algorithms have been …

Remote sensing methods in medium spatial resolution satellite data land cover classification of large areas

SE Franklin, MA Wulder - Progress in physical geography, 2002‏ - journals.sagepub.com
Numerous large-area, multiple image-based, multiple sensor land cover map** programs
exist or have been proposed, often within the context of national forest monitoring, map** …

Making Landsat time series consistent: Evaluating and improving Landsat analysis ready data

S Qiu, Y Lin, R Shang, J Zhang, L Ma, Z Zhu - Remote Sensing, 2018‏ - mdpi.com
Recently, the United States Geological Survey (USGS) has released a new dataset, called
Landsat Analysis Ready Data (ARD), which is designed specifically for facilitating time …

Remote sensing for large-area habitat map**

GJ McDermid, SE Franklin… - Progress in Physical …, 2005‏ - journals.sagepub.com
Remote sensing has long been identified as a technology capable of supporting the
development of wildlife habitat maps over large areas. However, progress has been …

[HTML][HTML] Land surface phenology in the highland pastures of montane Central Asia: Interactions with snow cover seasonality and terrain characteristics

MA Tomaszewska, LH Nguyen, GM Henebry - Remote Sensing of …, 2020‏ - Elsevier
Many studies have shown that high elevation environments are among very sensitive to
climatic changes and where impacts are exacerbated. Across Central Asia, which is …

Pixel-based Minnaert correction method for reducing topographic effects on a Landsat 7 ETM+ image

H Ge, D Lu, S He, A Xu, G Zhou… - … Engineering & Remote …, 2008‏ - ingentaconnect.com
The topographic effect on land surface reflectance is an important factor affecting
quantitative analysis of remotely sensed data in mountainous regions. Different approaches …

[HTML][HTML] Monitoring irrigation consumption using high resolution NDVI image time series: Calibration and validation in the Kairouan Plain (Tunisia)

S Saadi, V Simonneaux, G Boulet, B Raimbault… - Remote Sensing, 2015‏ - mdpi.com
Water scarcity is one of the main factors limiting agricultural development in semi-arid areas.
Remote sensing has long been used as an input for crop water balance monitoring. The …

[HTML][HTML] Topographic correction to Landsat imagery through slope classification by applying the SCS+ C method in mountainous forest areas

R Vázquez-Jiménez, R Romero-Calcerrada… - … International Journal of …, 2017‏ - mdpi.com
The aim of the topographic normalization of remotely sensed imagery is to reduce
reflectance variability caused by steep terrain and thus improve further processing of …

Using CASI hyperspectral imagery to detect mortality and vegetation stress associated with a new hardwood forest disease

R Pu, M Kelly, GL Anderson… - … Engineering & Remote …, 2008‏ - ingentaconnect.com
A Compact Airborne Spectrographic Imager-2 (CASI) dataset was used for detecting
mortality and vegetation stress associated with a new forest disease. We first developed a …