Milind Wadodkar | National Remote Sensing Centre,ISRO,India. (original) (raw)

Uploads

Papers by Milind Wadodkar

Soil is one of our most important non-renewable natural resource and soil fertility is its crucia... more Soil is one of our most important non-renewable natural resource and soil fertility is its
crucial component for increasing agricultural production. Now, it is being increasingly
emphasized that, for sustaining soil health we need spatial information on soils along
with its fertility levels. Towards this end, remote sensing (RS) and GIS technology plays
a very effective role, especially the high resolution satellite data and geo-statistical
techniques. Realising this, here presented an overview of applications of RS in soil
related studies with emphasis on applications for soil fertility assessment. A case study
is also illustrated to demonstrate the potential of high-resolution RS data in generating
soil nutrient maps using interpolation techniques at village level on 1:10,000 scale that
would facilitate soil health management.

Lateritic soils of Mathamangalam, Kannur District, located in midlands of Kerala, were morphol... more Lateritic soils of Mathamangalam, Kannur
District, located in midlands of Kerala, were morphologically
studied, characterized, classified and mapped
at 1:50,000 scale using remote sensing techniques. The
terrain of the study area being hilly and covered with
perennial vegetation, soil-landscape model was applied.
For this purpose physiographic information was inferred
from SRTM DEM, Resourcesat-1 LISS-III
satellite image and topographical maps. The interpreted
units were validated in the field and characterized
through soil-site examination, soil profile study and soil
analysis. The study indicated that the lateritic soils of
midlands of Kerala vary in physical, chemical and
morphological properties in relation to micro-relief.
Soils developed on moderately steeply sloping side
slopes (15–30% slope) are deep, moderately well
drained with gravelly clay textured, where as the soils
developed on moderately slopping side slope (10–15%
slope) are very deep and well drained. The soils of
valleys are very deep, moderately well drained with fine
texture. Very gently sloping (1–3%) laterite plateau tops
have extremely shallow soils associated with rock
outcrops. These soils mainly belong to Order Ultisols
followed by Inceptisols and Entisols. These were further
grouped up to Family and Series level by tentatively
establishing seven soil series. This study helps in
understanding the behaviour of lateritic soils of midlands
of Kerala, which can be useful in generation of
interpretative maps and in optimizing the land use.

Journal of The Indian Society of Remote Sensing

A study was carried out in village Mohammadabad, Nalgonda district, Andhra Pradesh to demonstrate... more A study was carried out in village Mohammadabad, Nalgonda district, Andhra Pradesh to demonstrate the potential of high-resolution remote sensing data in generating soil resource database at village level that would facilitate natural resource developmental planning. For this study, detail soil resource database was generated by interpreting IRS Resourcesat-1 LISS-IV + Cartosat-1 merged data and by undertaking soil survey and soil analysis. This database was integrated with cadastral map and was analysed for preparation of an action plan for the village that included recommendation on suitable crops, soil and water conservation measures and distribution of soil health card to farmers. The study indicates that the LISS-IV + Cartosat-1 merged satellite data helps in mapping soils at phase level and in delineation of more number of pure soil mapping units i.e. consociations at 1:10.000 scale. The plot-wise resource potential and constraints reveals that significant inter and intra-field soil variability exists. Soil fertility assessment indicates that the soils of the village are low to medium in fertility (available NPK Content) and micronutrients like copper, manganese and iron content is above the critical level for optimum growth of crops while zinc content is less than the critical level.

Journal of The Indian Society of Remote Sensing

Lateritic soils of Mathamangalam, Kannur District, located in midlands of Kerala, were morphologi... more Lateritic soils of Mathamangalam, Kannur District, located in midlands of Kerala, were morphologically studied, characterized, classified and mapped at 1:50,000 scale using remote sensing techniques. The terrain of the study area being hilly and covered with perennial vegetation, soil-landscape model was applied. For this purpose physiographic information was inferred from SRTM DEM, Resourcesat-1 LISS-III satellite image and topographical maps. The interpreted units were validated in the field and characterized through soil-site examination, soil profile study and soil analysis. The study indicated that the lateritic soils of midlands of Kerala vary in physical, chemical and morphological properties in relation to micro-relief. Soils developed on moderately steeply sloping side slopes (15–30% slope) are deep, moderately well drained with gravelly clay textured, where as the soils developed on moderately slopping side slope (10–15% slope) are very deep and well drained. The soils of valleys are very deep, moderately well drained with fine texture. Very gently sloping (1–3%) laterite plateau tops have extremely shallow soils associated with rock outcrops. These soils mainly belong to Order Ultisols followed by Inceptisols and Entisols. These were further grouped up to Family and Series level by tentatively establishing seven soil series. This study helps in understanding the behaviour of lateritic soils of midlands of Kerala, which can be useful in generation of interpretative maps and in optimizing the land use.

Journal of The Indian Society of Remote Sensing