
{"id":64761,"date":"2025-05-01T13:26:38","date_gmt":"2025-05-01T13:26:38","guid":{"rendered":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%87%d9%86%d8%af%d8%a8%d9%88%da%a9-%d8%b3%d9%86%d8%ac%d8%b4-%d8%a7%d8%b2-%d8%af%d9%88%d8%b1\/"},"modified":"2025-05-01T09:57:33","modified_gmt":"2025-05-01T09:57:33","slug":"%da%a9%d8%aa%d8%a7%d8%a8-%d9%87%d9%86%d8%af%d8%a8%d9%88%da%a9-%d8%b3%d9%86%d8%ac%d8%b4-%d8%a7%d8%b2-%d8%af%d9%88%d8%b1","status":"publish","type":"product","link":"https:\/\/express24.ir\/d\/product\/%da%a9%d8%aa%d8%a7%d8%a8-%d9%87%d9%86%d8%af%d8%a8%d9%88%da%a9-%d8%b3%d9%86%d8%ac%d8%b4-%d8%a7%d8%b2-%d8%af%d9%88%d8%b1\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u0647\u0646\u062f\u0628\u0648\u06a9 \u0633\u0646\u062c\u0634 \u0627\u0632 \u062f\u0648\u0631"},"content":{"rendered":"<p>&nbsp;<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" title=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Remote Sensing Handbook \u2013 Three Volume Set: Remotely Sensed Data Characterization, Classification, and Accuracies\" src=\"https:\/\/express24.ir\/d\/wp-content\/uploads\/2025\/05\/9781482217865.jpg\" alt=\"\u062f\u0627\u0646\u0644\u0648\u062f \u06a9\u062a\u0627\u0628 Remote Sensing Handbook \u2013 Three Volume Set: Remotely Sensed Data Characterization, Classification, and Accuracies\" \/><\/div>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\n<h3>\u0639\u0646\u0648\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc:<\/h3>\n<\/td>\n<td>\n<h3>Remote Sensing Handbook \u2013 Three Volume Set: Remotely Sensed Data Characterization, Classification, and Accuracies<\/h3>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0633\u0627\u0644 \u0627\u0646\u062a\u0634\u0627\u0631: 2015\u00a0\u00a0|\u00a0\u00a0712 \u0635\u0641\u062d\u0647\u00a0\u00a0|\u00a0\u00a0\u062d\u062c\u0645 \u0641\u0627\u06cc\u0644: 45 \u0645\u06af\u0627\u0628\u0627\u06cc\u062a\u00a0\u00a0|\u00a0\u00a0\u0632\u0628\u0627\u0646: \u0627\u0646\u06af\u0644\u06cc\u0633\u06cc<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<table class=\"table table-striped table-hover\">\n<tbody>\n<tr>\n<td>\u0646\u0648\u06cc\u0633\u0646\u062f\u0647<\/td>\n<td>Prasad S. Thenkabail Ph.D<\/td>\n<\/tr>\n<tr>\n<td>\u0646\u0627\u0634\u0631<\/td>\n<td>CRC Press<\/td>\n<\/tr>\n<tr>\n<td>ISBN10:<\/td>\n<td>1482217864<\/td>\n<\/tr>\n<tr>\n<td>ISBN13:<\/td>\n<td>9781482217865<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628<\/h2>\n<div style=\"direction: ltr;\">A volume in the Remote Sensing Handbook series, Remotely Sensed Data Characterization, Classification, and Accuracies documents the scientific and methodological advances that have taken place during the last 50 years. The other two volumes in the series are Land Resources Monitoring, Modeling, and Mapping with Remote Sensing, and Remote Sensing of Water Resources, Disasters, and Urban Studies.<br \/>\nThis volume demonstrates the experience, utility, methods, and models used in studying a wide array of remotely sensed data characterization, classification, and accuracies for terrestrial applications. Leading experts on global geographic coverage, study areas, and array of satellite and sensors contribute to this unique handbook. This theoretical as well as highly practical book represents a thorough history of advancement in the field over last 50 years, bringing us to where we are now, and highlighting future possibilities.<br \/>\nHighlights include:Fundamental and advanced topics in remote-sensing satellites and sensors<br \/>\nRemote sensing data calibration, normalization, harmonization, and synthesis<br \/>\nOptical, Radar, LiDAR, thermal, hyperspectral, and other satellite sensors, normalization of remotely sensed data, and data degradations<br \/>\nDigital image processing, urban image classification, and image classification methods in land useland cover, cropland, change detection studies<br \/>\nEnhanced vegetation indices and standardization of vegetation indices<br \/>\nObject-based image analysis (OBIA) and geospatial data integration<br \/>\nLiDAR data processing and applications<br \/>\nGeoprocessing, GIS, and GIScience<br \/>\nGNSS applications<br \/>\nCrowdsourcing and cloud computing<br \/>\nGoogle Earth for Earth Sciences<br \/>\nMap accuracies<br \/>\nRemote-sensing law or space law, and a host of other topics<\/p>\n<p>Considered magnum opus on the subject, the three-volume Remote Sensing Handbook is edited by Dr. Prasad S. Thenkabail of the United States Geological Survey and a renowned international expert in remote sensing and GIScience, with contributions from the very best leading global experts, the handbook gives you a knowledge base on the evolution of remote sensing science, current state-of-the-art technology, and a future vision for the field.<\/p>\n<\/div>\n<h2>\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u06a9\u062a\u0627\u0628 \u0628\u0647 \u0641\u0627\u0631\u0633\u06cc (\u062a\u0631\u062c\u0645\u0647 \u0645\u0627\u0634\u06cc\u0646\u06cc)<\/h2>\n<p>\u06cc\u06a9 \u062d\u062c\u0645 \u062f\u0631 \u0633\u0631\u06cc \u06a9\u062a\u0627\u0628\u0647\u0627\u06cc \u0633\u0646\u062c\u0634 \u0627\u0632 \u0631\u0627\u0647 \u062f\u0648\u0631 \u060c \u062a\u0648\u0635\u06cc\u0641 \u062f\u0627\u062f\u0647 \u0647\u0627 \u060c \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u0648 \u062f\u0642\u062a \u0627\u0632 \u0631\u0627\u0647 \u062f\u0648\u0631 \u060c \u067e\u06cc\u0634\u0631\u0641\u062a \u0647\u0627\u06cc \u0639\u0644\u0645\u06cc \u0648 \u0631\u0648\u0634 \u0634\u0646\u0627\u062e\u062a\u06cc \u0631\u0627 \u06a9\u0647 \u062f\u0631 \u0637\u06cc 50 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647 \u0627\u062a\u0641\u0627\u0642 \u0627\u0641\u062a\u0627\u062f\u0647 \u0627\u0633\u062a \u060c \u0645\u0633\u062a\u0646\u062f \u0645\u06cc \u06a9\u0646\u062f.\u062f\u0648 \u062c\u0644\u062f \u062f\u06cc\u06af\u0631 \u0627\u06cc\u0646 \u0633\u0631\u06cc \u0639\u0628\u0627\u0631\u062a\u0646\u062f \u0627\u0632: \u0646\u0638\u0627\u0631\u062a \u0628\u0631 \u0645\u0646\u0627\u0628\u0639 \u0632\u0645\u06cc\u0646 \u060c \u0645\u062f\u0644 \u0633\u0627\u0632\u06cc \u0648 \u0646\u0642\u0634\u0647 \u0628\u0631\u062f\u0627\u0631\u06cc \u0628\u0627 \u0633\u0646\u062c\u0634 \u0627\u0632 \u062f\u0648\u0631 \u0648 \u0633\u0646\u062c\u0634 \u0627\u0632 \u062f\u0648\u0631 \u0627\u0632 \u0645\u0646\u0627\u0628\u0639 \u0622\u0628 \u060c \u0628\u0644\u0627\u06cc\u0627\u06cc \u0648 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\u067e\u0648\u0634\u0634 \u062c\u063a\u0631\u0627\u0641\u06cc\u0627\u06cc\u06cc \u062c\u0647\u0627\u0646\u06cc \u060c \u0645\u0646\u0627\u0637\u0642 \u0645\u0648\u0631\u062f \u0645\u0637\u0627\u0644\u0639\u0647 \u0648 \u0645\u062c\u0645\u0648\u0639\u0647 \u0627\u06cc \u0627\u0632 \u0645\u0627\u0647\u0648\u0627\u0631\u0647 \u0647\u0627 \u0648 \u0633\u0646\u0633\u0648\u0631\u0647\u0627 \u062f\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u0686\u0647 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0645\u0646\u062d\u0635\u0631 \u0628\u0647 \u0641\u0631\u062f \u0646\u0642\u0634 \u062f\u0627\u0631\u0646\u062f.\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0646\u0638\u0631\u06cc \u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0633\u06cc\u0627\u0631 \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc \u0646\u0634\u0627\u0646 \u062f\u0647\u0646\u062f\u0647 \u062a\u0627\u0631\u06cc\u062e\u0686\u0647 \u06a9\u0627\u0645\u0644\u06cc \u0627\u0632 \u067e\u06cc\u0634\u0631\u0641\u062a \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u062f\u0631 \u0637\u06cc 50 \u0633\u0627\u0644 \u06af\u0630\u0634\u062a\u0647 \u0627\u0633\u062a \u0648 \u0645\u0627 \u0631\u0627 \u0628\u0647 \u062c\u0627\u06cc\u06cc \u0645\u06cc \u0631\u0633\u0627\u0646\u062f \u06a9\u0647 \u0627\u06a9\u0646\u0648\u0646 \u0647\u0633\u062a\u06cc\u0645 \u0648 \u0627\u0645\u06a9\u0627\u0646\u0627\u062a \u0622\u06cc\u0646\u062f\u0647 \u0631\u0627 \u0628\u0631\u062c\u0633\u062a\u0647 \u0645\u06cc \u06a9\u0646\u06cc\u0645.<br \/>\n\u0646\u06a9\u0627\u062a \u0628\u0631\u062c\u0633\u062a\u0647 \u0634\u0627\u0645\u0644:<\/p>\n<p>\u0645\u0628\u0627\u062d\u062b \u0627\u0633\u0627\u0633\u06cc \u0648 \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u0631 \u0645\u0627\u0647\u0648\u0627\u0631\u0647 \u0647\u0627 \u0648 \u0633\u0646\u0633\u0648\u0631\u0647\u0627\u06cc \u0633\u0646\u062c\u0634 \u0627\u0632 \u0631\u0627\u0647 \u062f\u0648\u0631<br \/>\n\u06a9\u0627\u0644\u06cc\u0628\u0631\u0627\u0633\u06cc\u0648\u0646 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\u062a\u0635\u0648\u06cc\u0631 \u0634\u0647\u0631\u06cc \u0648 \u0631\u0648\u0634\u0647\u0627\u06cc \u0637\u0628\u0642\u0647 \u0628\u0646\u062f\u06cc \u062a\u0635\u0648\u06cc\u0631 \u062f\u0631 \u067e\u0648\u0634\u0634 \u0632\u0645\u06cc\u0646 \u0644\u0646\u062f \u060c \u0632\u0645\u06cc\u0646 \u0632\u0631\u0627\u0639\u06cc \u060c \u0645\u0637\u0627\u0644\u0639\u0627\u062a \u062a\u0634\u062e\u06cc\u0635 \u062a\u063a\u06cc\u06cc\u0631<br \/>\n\u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u06af\u06cc\u0627\u0647\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0648 \u0627\u0633\u062a\u0627\u0646\u062f\u0627\u0631\u062f \u0633\u0627\u0632\u06cc \u0634\u0627\u062e\u0635 \u0647\u0627\u06cc \u067e\u0648\u0634\u0634 \u06af\u06cc\u0627\u0647\u06cc<br \/>\n\u062a\u062c\u0632\u06cc\u0647 \u0648 \u062a\u062d\u0644\u06cc\u0644 \u062a\u0635\u0648\u06cc\u0631 \u0645\u0628\u062a\u0646\u06cc \u0628\u0631 \u0634\u06cc (OBIA) \u0648 \u0627\u062f\u063a\u0627\u0645 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc \u062c\u063a\u0631\u0627\u0641\u06cc\u0627\u06cc\u06cc<br \/>\n\u067e\u0631\u062f\u0627\u0632\u0634 \u062f\u0627\u062f\u0647 \u0647\u0627\u06cc LIDAR \u0648 \u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc \u06a9\u0627\u0631\u0628\u0631\u062f\u06cc<br \/>\nGeoprospessing \u060c GIS \u0648 Giscience<br \/>\n\u0628\u0631\u0646\u0627\u0645\u0647 \u0647\u0627\u06cc GNSS<br \/>\n\u062c\u0645\u0639\u06cc\u062a \u0648 \u0645\u062d\u0627\u0633\u0628\u0627\u062a \u0627\u0628\u0631\u06cc<br \/>\nGoogle Earth for Earth<br \/>\n\u062f\u0642\u062a \u0646\u0642\u0634\u0647<br \/>\n\u0642\u0627\u0646\u0648\u0646 \u0633\u0646\u062c\u0634 \u0627\u0632 \u0631\u0627\u0647 \u062f\u0648\u0631 \u06cc\u0627 \u0642\u0627\u0646\u0648\u0646 \u0641\u0636\u0627\u06cc\u06cc \u0648 \u0645\u06cc\u0632\u0628\u0627\u0646 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u062f\u06cc\u06af\u0631<\/p>\n<p>\u06a9\u062a\u0627\u0628\u0686\u0647 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc \u0633\u0646\u062c\u0634 \u0627\u0632 \u062f\u0648\u0631 \u0633\u0647 \u062c\u0644\u062f\u06cc \u062f\u0631 \u0646\u0638\u0631 \u06af\u0631\u0641\u062a\u0647 \u0634\u062f\u0647 \u062f\u0631 \u0645\u0648\u0631\u062f \u0627\u06cc\u0646 \u0645\u0648\u0636\u0648\u0639 \u060c \u062a\u0648\u0633\u0637 \u062f\u06a9\u062a\u0631 Prasad S. \u0648\u06cc\u0631\u0627\u06cc\u0634 \u0634\u062f\u0647 \u0627\u0633\u062a.\u0627\u06cc\u0646 \u062f\u0641\u062a\u0631\u0686\u0647 \u0631\u0627\u0647\u0646\u0645\u0627 \u062f\u0631 \u0645\u0648\u0631\u062f \u062a\u06a9\u0627\u0645\u0644 \u0639\u0644\u0645 \u0633\u0646\u062c\u0634 \u0627\u0632 \u0631\u0627\u0647 \u062f\u0648\u0631 \u060c \u0641\u0646\u0627\u0648\u0631\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u0641\u0639\u0644\u06cc \u0648 \u06cc\u06a9 \u0686\u0634\u0645 \u0627\u0646\u062f\u0627\u0632 \u0622\u06cc\u0646\u062f\u0647 \u0628\u0631\u0627\u06cc \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0645\u06cc \u062f\u0647\u062f.<br \/>\n<br \/>\r\n<table class=\"table table-bordered\">\r\n\t\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f \u06a9\u0647 \u0627\u06cc\u0646 \u0645\u062d\u0635\u0648\u0644 \u0628\u0647 \u0635\u0648\u0631\u062a \u0641\u0627\u06cc\u0644 \u062f\u0627\u0646\u0644\u0648\u062f\u06cc \u0627\u0633\u062a \u0648 \u0646\u0647 \u06a9\u062a\u0627\u0628 \u06a9\u0627\u063a\u0630\u06cc.\r\n\r\n\t\t<\/td>\r\n\t<\/tr>\r\n\r\n\t\t<tr>\r\n\t\t<td>\r\n\t\t\t\r\n\u0628\u0647 \u0647\u0646\u06af\u0627\u0645 \u062e\u0631\u06cc\u062f \u0628\u0647 \u0632\u0628\u0627\u0646 \u062f\u0631\u062c \u0634\u062f\u0647 \u0628\u0631\u0627\u06cc \u06a9\u062a\u0627\u0628 \u062d\u062a\u0645\u0627 \u062a\u0648\u062c\u0647 \u06a9\u0646\u06cc\u062f. \u0628\u0647 \u0635\u0648\u0631\u062a \u0645\u0639\u0645\u0648\u0644 \u062f\u0631 \u0627\u06a9\u062b\u0631 \u0645\u0648\u0627\u0631\u062f \u0632\u0628\u0627\u0646 \u06a9\u062a\u0627\u0628 \u0641\u0627\u0631\u0633\u06cc 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