Results 181 to 190 of about 167,285 (319)
Machine learning on multi‐spectral imagery to estimate nutrient yield of mixed‐species cover crops
Abstract This study aimed to estimate mixed‐species cover crop (CC) biomass and nutrient contents using remote sensing, as ground‐based measurements are time‐consuming and costly. Eleven CC treatments with varying grass‐legume proportions (GLP) were sampled, and nutrient contents were determined along with multispectral imagery captured during the ...
Tulsi P. Kharel+14 more
wiley +1 more source
Evaluation of aircraft microwave data for locating zones for well stimulation and enhanced gas recovery [PDF]
Imaging radar was evaluated as an adjunct to conventional petroleum exploration techniques, especially linear mapping. Linear features were mapped from several remote sensor data sources including stereo photography, enhanced LANDSAT imagery, SLAR radar ...
Babcock, R.+7 more
core +1 more source
Can gridded real‐time weather data match direct ground observations for irrigation decision‐support?
Abstract Agricultural decision‐support systems are commonplace in extension and outreach. These systems typically rely on either historical or direct ground observations to make grower recommendations. Sensor data create many challenges for application developers, though, including managing device‐level characteristics, ensuring observation data ...
Samikshya Subedi+4 more
wiley +1 more source
Investigation of remote sensing techniques as inputs to operational resource management [PDF]
The author has identified the following significant results. Visual interpretation of 1:125,000 color LANDSAT prints produced timely level 1 maps of accuracies in excess of 80% for agricultural land identification. Accurate classification of agricultural
Eidenshink, J. C.+2 more
core +1 more source
Changes in wetland size and increased drought frequency influenced wetland cultivation, groundwater depletion and the proliferation of invasive alien floral species. Building anticipatory actions through ecosystem‐based adaptation, anticipatory actions and seasonal livelihoods enhances agroecosystem resilience.
Pascal Manyakaidze+2 more
wiley +1 more source
Evaluating LANDSAT wildland classification accuracies [PDF]
Procedures to evaluate the accuracy of LANDSAT derived wildland cover classifications are described. The evaluation procedures include: (1) implementing a stratified random sample for obtaining unbiased verification data; (2) performing area by area ...
Toll, D. L.
core +1 more source
ABSTRACT Permafrost coasts are eroding at an accelerating pace, delivering vast amounts of sediments, organic matter, nutrients, and pollutants into the Arctic Ocean. These fluxes play a crucial role in the coastal biogeochemical cycle, yet their magnitude, as well as the trajectory and fate of the eroded material, is largely unknown.
Justus Gimsa+2 more
wiley +1 more source
Snow melt-out date (SMOD) change spanning four decades in European temperate mountains at 30 m from Landsat time series. [PDF]
Bayle A+4 more
europepmc +1 more source
Shrubs Strongly Influence Snow Properties in Two Subarctic Watersheds
ABSTRACT Understanding changes in snow distribution in permafrost ecosystems is fundamental to predicting their response to future climate change. The expansion of tall shrubs into tundra ecosystems can trap snow and insulate permafrost ecosystems during the winter, but the overall insulation effect is dependent upon many ecosystem properties. To study
Emma Lathrop+9 more
wiley +1 more source